Release 2023-4

Library Background

Release Notes

Release 2023-4

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Improved functionality and enhanced usability in the new embedded Workspace Sequence Viewer [2023-4]
  • Improved Scatter Plot capabilities: An updated charting tool provides a more intuitive interface, interactive features for data exploration, and extensive customization options for generating scatter plots [2023-4]
  • New Lasso Selection: Draw a freeform selection path with superior precision around specific atoms or regions compared to Marquee Selection [2023-4]
  • New 3D Builder behavior preference to automatically minimize newly added fragments [2023-4]
  • Redesigned ‘Find Toolbar’ boasts an improved user interface with new functionalities such as sequence search and enhanced “Search by SMARTS” with access to the Sketcher [2023-4]
  • Added support for Nonstandard Amino Acids in the 3D Builder [2023-4]
  • Improved user interface for several Project Table dialogs [2023-4]:
    • Combine Properties
    • Copy Property
    • Delete Properties
    • Clear Values
  • Added menu option to move selected entries to the top or end of their current group [2023-4]
  • Enhanced surface visuals through texture mapping, utilizing per-vertex texture coordinates to enrich detail and color vibrancy [2023-4]
  • mmCIF files (.cif) are now treated the same way as PDB files (.pdb) upon import into Maestro, with atoms automatically colored by element for improved visualization [2023-4]

Force Field

  • FFBuilder now uses the QRNN-TB neural network potential as its default reference method. Typical FFBuilder jobs run 3-5X faster [2023-4]

Workflows & Pipelining [KNIME Extensions]

  • LiveDesign connection node supports Single Sign-On and reconnection to hosts running different LiveDesign versions [2023-4]
  • LiveDesign connection node can be connected to the Upload as LiveDesign node [2023-4]
  • LiveDesign settings are stored for several hosts as profiles in KNIME preferences panel [2023-4]

Target Validation & Structure Enablement

AlphaFold Download / Process

  • Added support for processing AlphaFold2 models and PAE files created through ColabFold [2023-4]

Multiple Sequence Viewer/Editor

  • Full release of ‘Align by Family’ panel (removed beta label) [2023-4]
  • Added T-Cell receptors as newest protein family recognized and property annotated with sequence features [2023-4]
  • Support for family aware alignment of T-Cell Receptor sequences to enable downstream applications like homology modeling [2023-4]

Binding Site & Structure Analysis

Desmond Molecular Dynamics

  • Radial Distribution Function (RDF) Panel can now ‘Group’ sites by monomers [2023-4]

Mixed Solvent MD (MxMD)

  • Added support for fragment-size probes [2023-4]

Hit Identification & Virtual Screening

Ligand Preparation

Empirical and QM-based pKa Prediction

  • Improved Lewis structure canonicalization in Epik [2023-4]

Lead Optimization

Ligand alignment

Improved performance of macrocycle alignment for cis- and trans-bond containing macrocycles [2023-4]

FEP+

  • Improved analysis of multiple physical properties in FEP+ panel [2023-4]
    • Small Molecule FEP
      • Relative Solvation
      • Relative Binding
    • Solubility FEP:
      • Hydration
      • Dissolution
    • Protein FEP:
      • Selectivity
      • Thermostability
  • Additional settings in Advanced Options Panel [2023-4]
    • Equilibration time
    • Simulation time is split into solvent/complex/vacuum
  • Improved accessibility for submitting jobs to web services [2023-4]

Constant pH Simulations

  • Trajectory Player: Improvements to the Lambda Dynamics [2023-4]

FEP+ Protocol Builder

  • Ability to run FEP+ Protocol Builder on user defined submaps [2023-4]

Macrocycles

  • Introduced the -parameter command line argument for macrocyclize.py to individually specify parameters [2023-4]
    • The -parameter argument expects a <key>=<value> argument, where <key> is one of several runtime parameters that can be inspected through the -write_param_file option.

Biologics Drug Discovery

  • New method to predict risk of oxidation of methionine residues in proteins (command line) [2023-4]
  • Enhanced antibody humanization by CDR grafting method supports grafting onto frameworks of non-human species (e.g. for murinization) (command line) [2023-4]
  • Updated and expanded default human germline database for antibody humanization [2023-4]
  • Simplified filtering and display of inter-chain and intra-chain disulfide bridges [2023-4]

Materials Science

GUI for Quantum ESPRESSO

Product: Quantum ESPRESSO (QE) Interface

  • Support for RMM-DIIS diagonalization algorithms [2023-4]
  • Option to compute effective charges (command line) [2023-4]
  • Option to merge trajectories from multiple ab initio MD jobs (command line) [2023-4]
  • Surface Energy: Option to add constraints to atom positions [2023-4]
  • Surface Energy: Option to optimize lattice parameters [2023-4]

Optoelectronics

Product: Genetic Optimization (GA)

  • Support for DeepAutoQSAR on Windows and Mac [2023-4]

KMC Charge Mobility

Product: MS Mobility

  • Plot KMC Charge Mobility: Option to select plots to exclude from averaging [2023-4]

Materials Informatics

Product: MS Informatics

  • ML Property: Support for downloadable custom property prediction models [2023-4]
  • ML Property: Optoelectronic properties from custom downloadable models [2023-4]
  • MD Descriptors: MD workflow to compute descriptors [2023-4]

Coarse-Grained (CG) Molecular Dynamics

Product: MS CG

  • Support for Martini force fields refined for proteins [2023-4]
  • Support for ‘tiny’ (T) type bead in Martini with 3.2 Å sigma [2023-4]
  • Support for Martini cyclodextrin particles [2023-4]

Dielectric Properties

Product: MS Dielectric

  • Summary tab in the viewer with organized output information [2023-4]
  • Results estimation tool in the viewer for given density and polarizability [2023-4]

Reactivity

Product: MS Reactivity

  • Auto Reaction Workflow: Module for comprehensive automated reaction analysis [2023-4]

MS Maestro Builders and Tools

  • Elemental Enumeration: Option to select multiple elements from the periodic table [2023-4]
  • Meta Workflows: Support for TDDFT and relativistic Hamiltonians in QM stages [2023-4]
  • Meta Workflows: Support for multi-CPU/GPU setup in Individual stages [2023-4]
  • Meta Workflows: Support for setting additional input files to be passed to a stage [2023-4]
  • Meta Workflows: Standard output stored in the file system for custom stages [2023-4]
  • Solvate System: Workspace action menu (WAM) [2023-4]
  • Structured Liquid: Hydrophilic/Hydrophobic groups assigned as atom properties [2023-4]
  • Structured Liquid: Visualization of arrow from hydrophilic to hydrophobic groups [2023-4]

Classical Mechanics

  • Evaporation: User control over trajectory recording interval [2023-4]
  • MD Multistage: Trajectory (CMS) stored for the stage prior to Average Cell stage [2023-4]
  • Radial Distribution Function: Option to group by monomer [2023-4]

Quantum Mechanics

  • Optoelectronics: Support for PCM solvent setup for redox potential predictions [2023-4]
  • Reaction Energetics Enumeration: Support for multi-CPU subjobs [2023-4]
  • Reaction Workflow: Option to run xTB optimization after conformational search [2023-4]
  • Reaction Workflow: Turnover frequency from the energetic span model [2023-4]
  • Transition Moment Order Parameter: Support for higher excited states [2023-4]
  • Transition Moment Order Parameter: Additional options for excited state setups [2023-4]

Education Content

  • New Tutorial: Molecular Dynamics Descriptors for Machine Learning [2023-4]
  • New Tutorial: Design of Asymmetric Catalysts with Automated Reaction Workflow [2023-4]
  • Update: Dielectric Properties [2023-4]
  • Update: Liquid Electrolyte Properties: Part 1 [2023-4]

LiveDesign

What’s New in 2023-4

  • Landing Page Improvements
    • Tag compounds as Favorites to pin them to the top of the Compounds page
    • Bookmarked LiveReports open in a new browser tab
    • View the total number of compounds, number of virtual compounds, and number of real compounds in a project
    • View recently added Real or Virtual compounds, and filter by date range
  • Reorder SAR scaffolds to change the priority and control which scaffold compounds will match
  • View column header icons for Formula and Freeform column to help identify the column type
  • View an assay’s description in a tooltip when hovering over the column header in a LiveReport
  • Rows that are added to a LiveReport after searching are automatically selected
  • Model/Protocol Metadata UX Improvements
    • Created By” field is added to the protocol/model details page
    • The number of depending models of each protocol is displayed in the protocol listing page
    • A direct link back to the protocol is provided in the model details page
    • Creation Date and Last Modified Date are added as new columns in the protocol/model listing page
    • Easier to access the “clear model results” option
  • Faster LiveReport filters and R-group decompositions, with greater performance increases for larger LiveReports

What’s Been Fixed

  • LiveReports that contain Layouts with one or more Matrix widgets can now be duplicated
  • LiveReports that contain unpublished parameterized models with picklist parameters can now be duplicated
  • Advanced Search
    • Advanced searches that used the Limit Multiple Endpoints treated inverted search conditions and normal search conditions the same, and now correctly distinguish between the two
    • Inverted advanced searches for experimental results with limiting conditions previously returned compounds that had no results, and now only return compounds with defined results
    • Advanced searches on experimental results, that include conditions using the Limit Multiple Endpoints feature, incorrectly returned results that did not match the Limit Multiple Endpoints search criteria, and now return results that match all criteria
  • Uploaded experimental results from files for Generic Entities now appear in the Data & Columns tree
  • Tasks listed in the Admin Panel would occasionally report their status as Submitted or Running, when the task was not actually Submitted nor Running, and now correctly report their status
  • Powerpoint exports now use a grey background for the header column, and use the term Entity instead of Result for the compound image row
  • Dragging the same compound to the sketcher multiple times in a row will correctly show the compound
  • Coloring rules in plots now work correctly when the coloring rules are defined by a multi-select picklist Freeform column
  • Selection navigation in the LiveReport footer now correctly scrolls within Tile View
  • The Ligand Designer previously showed newly added fragments in a green color, and now show atoms using the default coloring scheme
  • Loading a saved scene within the 3D visualizer now correctly styles ligands, based on the styling used when the scene was saved
  • Custom binning within plots is now correctly saved in Forms view
  • Users with the Viewer role no longer see a temporary red authentication error bar after logging in
  • The notification “1 other person viewing this LiveReport” previously appeared long after a user closed the LiveReport, and now correctly shows when other users are viewing the LiveReport

Training & Resources

Online Certification Courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.

Other Resources

AI in Drug Discovery

Conference

AI in Drug Discovery

CalendarDate & Time
  • March 11th-12th, 2024
LocationLocation
  • London, United Kingdom

Schrödinger is excited to be participating in the AI in Drug Discovery conference taking place on March 11th – 12th in London, United Kingdom. Join us for a presentation by Karl Leswing, Executive Director at Schrödinger, titled “Latest advancements in machine learning-enhanced in silico design: Impact on a pipeline of drug discovery programs”. Stop by our booth to speak with Schrödinger scientists.

Speaker: Karl Leswing, Executive Director, Machine Learning, Schrödinger

Abstract:

  • Using active learning with FEP+ for large-scale in silico fragment screens in hit discovery
  • Applying de novo design workflows for intelligent molecular core design 
  • Leveraging experimental data for enhancing ADMET profiles in lead optimization using an interactive ML dashboard

Accurate modeling of receptor functional response: GPCRs and beyond

Webinar

Accurate modeling of receptor functional response: GPCRs and beyond

CalendarDate & Time
  • February 28th, 2024
  • 8:00 AM PT / 11:00 AM ET / 4:00 PM GMT / 5:00 PM CET
LocationLocation
  • Virtual
Register

For a drug to be effective, potent binding to the target protein is a prerequisite, but it is not sufficient. Rather, in order to produce the desired functional response, the drug must either inhibit the function of the protein or modulate the activity of the protein, most typically by modifying its conformational equilibrium. The long timescales for such protein conformational changes prohibit them from being directly modeled via physics-based simulations. However, our recent work has demonstrated that the consequences of these long-timescale processes can be accurately modeled with alchemical free energy calculations using FEP+.

In this webinar, we present a tractable and computationally efficient protocol that can accurately and reliably predict the functional response of a receptor to ligand binding, including:

  • The use of Absolute Binding Free Energy Perturbation (ABFEP) to score the difference of the ligand bound to active and inactive states of the receptor and accurately predict the functional response of ligand binding

  • Validation on a large set of systems including eight G protein-coupled receptors (GPCRs) and one nuclear receptor

  • How this FEP-based workflow can be used to achieve unprecedented performance in classifying ligands as agonists or antagonists in drug discovery programs

  • Best practices for applying this approach to your own research projects

icon time 8:00 AM PT / 11:00 AM ET / 4:00 PM GMT / 5:00 PM CET

Accurate modeling of receptor functional response: GPCRs and beyond

Our Speakers

Lingle Wang, PhD

Senior Vice President, Schrödinger

Lingle Wang, senior vice president, scientific development, joined Schrödinger in 2012. He is responsible for advancing Schrödinger’s physics-based computational drug discovery platform. He obtained his Ph.D. from Columbia University working with Professors Richard Friesner and Bruce Berne on methods to quantify the role of water molecules in protein-ligand binding, enhanced sampling in biomolecular simulations and free energy calculations. Lingle has published extensively in the areas of free energy methods development and applications in drug discovery.

Martin Vögele, PhD

Senior Scientist I, Schrödinger

Martin Vögele is a senior scientist in the life science software department at Schrödinger, Inc. in New York City. Previously, he was a postdoc in computer science at Stanford University where he worked on simulations of G-protein-coupled receptors and on machine learning for structural biology and drug discovery. Before moving to the United States, he obtained a PhD for work on diffusion and self-organization in lipid membranes at the Max Planck Institute of Biophysics in Frankfurt, Germany.

Register

Structural Biology

Structural Biology

Research IT & Cloud Computing

Expand the impact of structural biology on drug design

Structural biology is rapidly developing due to advances in cryo-EM, machine learning technologies such as AlphaFold, and new computational capabilities. New questions can be asked, with new standards of what is achievable.

Schrödinger is spearheading modern computational workflows for structure refinement, ligand placement, and binding site analysis to unlock a broader range of protein targets for structure-based design.

Tools for computational structure refinement, ligand placement, and binding site analysis

Utilize computational tools to generate and validate ligand binding poses

  • Dock ligands into ambiguous density, such as in cryo-EM structures, using a best-in class force field to resolve uncertainty
  • Generate refined protein structures with improved quality and statistics without the need for explicit ligand restraints files

Prepare and refine computational models using your experimentally determined structures

  • Reliably and accurately dock ligands into your experimentally determined structures for drug design or mechanistic evaluations
  • Rationally build unresolved side-chain atoms with ligand placement
  • Place cofactors and solvent to convert low resolution models into complete, all-atom representations

Improve collaboration with chemists using a centralized structural data and 3D visualization platform

  • Store, search and organize target structures
  • Utilize expert pipelines to align and prepare protein structures
  • View, overlay and assess structures in 3D to drive target selection
> LiveDesign

Solutions for all stages of your drug discovery program

Get more from your ideas by harnessing the power of large-scale chemical exploration and accurate in silico molecular prediction.

Structure Prediction & Target Enablement
Hit Discovery
Hit-to-Lead & Lead Optimization
Drug Formulation

Webinars

Structure-based drug discovery without a structure: Enabling accurate FEP+ predictions for challenging targets and ADMET anti-targets

Opening new worlds for structure-based drug discovery with advanced physics-based computational methods

Improving protein-ligand modeling into cryo-EM data and the use of those models in drug discovery efforts

Learn advanced molecular modeling tools at your own pace

Introduction to Molecular Modeling for Drug Discovery Life Science Life Science
Introduction to molecular modeling in drug discovery

Protein preparation, ligand docking, collaborative design, and other fundamentals of small molecule drug discovery with Maestro and LiveDesign

Free Energy Calculation for Drug Design with FEP+ Life Science Life Science
Free energy calculations for drug design with FEP+

Running, analyzing, and troubleshooting relative binding FEP+ calculations for small molecule lead optimization

Software and services to meet your organizational needs

Software Platform

Deploy digital drug discovery workflows using a comprehensive and user-friendly platform for molecular modeling, design, and collaboration.

Research Services

Leverage Schrödinger’s computational expertise and technology at scale to advance your projects through key stages in the drug discovery process.

Support & Training

Access expert support, educational materials, and training resources designed for both novice and experienced users.

Release 2023-3

Library Background

Release Notes

Release 2023-3

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Apply ribbon and cartoon styling on selected entries  [2023-3]
  • Improve visualization of interactions crossing Periodic Boundary Conditions [2023-3]
  • Seamlessly copy and paste data from the Project Table into external applications including spreadsheets, enabling efficient data transfer and analysis [2023-3]
  • Trajectory Player [2023-3]
    • View trajectories from lambda dynamics calculations such as those from the constant pH workflow
    • Navigate frames in trajectory visualization easily using keyboard arrow keys
  • 3D Builder [2023-3]
    • Access Builder Behavior options from the 3D Builder palette
  • Interactively mutate native nucleotides in the Workspace, including between DNA to RNA and RNA to DNA nucleotides [2023-3]
  • Enhanced “Save Project As” functionality with Windows-only UX improvements [2023-3]
  • Maestro to PyMOL connection [2023-3]
    • Streamline the integration of WaterMaps with PyMOL
    • Include Maestro Scene “Description” as a PyMOL Message for better scene management
  • Maestro to LiveDesign connection [2023-3]
    • Seamlessly integrate between Maestro and LiveDesign with the new Mapping Manager. Easily rename property mappings and eliminate the issue of cluttered names when creating variations. Save and share mappings using the direct import and export feature.

Job Control

  • Smart distribution jobs in Job Server now check license availability, eliminating risk of license exhaustion [2023-3]

Workflows & Pipelining [KNIME Extensions]

  • Streamline the login process with the LiveDesign connection node using Single Sign-On (SSO) tokens [2023-3]

Target Validation & Structure Enablement

Protein Preparation

  • Optionally use custom PFAM databases in pfam_driver.py [2023-3]
  • Import structures into Coot with standard residue names from protein preparation’s PDB output. The Maestro output retains protonation-specific residue naming, i.e HIP/HID/HIE instead of HIS [2023-3]
  • Significantly improved performance of Protein Preparation including the Interactive Optimizer for systems of 90,000 atoms or more [2023-3]

Multiple Sequence Viewer/Editor

  • Benefit from speed and accuracy improvements in protein/nucleic acid structure alignment from replacing the previous SKA aligner with the CEAlign algorithm [2023-3]
  • Download structural models directly from AlphaFold2 by providing a UniProt ID [2023-3]

IFD-MD

  • Design out common ADMET liabilities using the new IFD-MD workflow (Beta). Predict complex structures of a ligand bound to CYP2D6, CYP3A4, PXR, or hERG [2023-3]

Hit Identification & Virtual Screening

Ligand Preparation

Empirical and QM-based pKa Prediction

  • Benefit from improved accuracy with the addition of several hundred more data points in the Macro-pKa training set [2023-3]

Active Learning Applications

  • Adjust equilibration simulation times and complex restraint options in Active Learning-FEP [2023-3]
  • Connect to ongoing GraphDB runs when restarting Active Learning-FEP jobs [2023-3]
  • Generate a final Maestro file that contains all ligands with FEP data and the corresponding endpoints [2023-3]

Shape Screening

  • Screen up to tens of billions of compounds quickly and efficiently with the new Quick Shape ligand-based screening workflow [2023-3]

ABFEP

  • Fit torsions on the fly via FFBuilder for FEP+ Web Services [2023-3]

Lead Optimization

FEP+

  • Fit torsions on the fly via FFBuilder for FEP+ Web Services [2023-3]
  • Support linker enumeration of compounds with symmetrical R-groups [2023-3]

Constant pH Simulations

  • Full-featured release of constant pH simulations [2023-3]
  • Improved analysis of constant pH simulations for protein pKa calculations [2023-3]
    • Automatically write constant pH trajectories specific to each pH
    • View trajectories from lambda dynamics calculations such as those from the constant pH workflow

Solubility FEP

  • Fit torsions on the fly via FFBuilder for FEP+ Web Services [2023-3]

Quantum Mechanics

  • Predict conformation-dependent IR and VCD/ECD spectra using an automated workflow within the new Jaguar Spectroscopy product [2023-3]
  • Download importable Jaguar-formatted basis sets from Basis Set Exchange [2023-3]
  • Access dynamic scans from the Relaxed Scan panel [2023-3]
  • Access the ΔSCF method and a script to prepare ΔSCF input on the command line [2023-3]

Semi-Empirical Quantum Mechanics

  • Parallelize batch and individual xTB calculations with OpenMP [2023-3]

Biologics Drug Discovery

  • Protein Linker Design Panel: Automatically detect and populate terminal residue and corresponding distances for improved usability [2023-3]

Materials Science

GUI for Quantum ESPRESSO

Product: Quantum ESPRESSO (QE) Interface

  • Quantum ESPRESSO: Upgrade to Quantum ESPRESSO 7.2 [2023-3]
  • Quantum ESPRESSO: Support for Car-Parrinello MD (cp.x) (command line) [2023-3]
  • Quantum ESPRESSO: Undo for atom reordering in NEB setup [2023-3]
  • Quantum ESPRESSO: Support for data analysis for 3D-RISM (pprism.x) (command line) [2023-3]
  • Quantum ESPRESSO: NEB Energy reported in Project Table [2023-3]
  • Quantum ESPRESSO: Calculation and plot of Raman spectra [2023-3]
  • Quantum ESPRESSO: Option to reduce scratch disk space requirement (command line) [2023-3]
  • Quantum ESPRESSO: Faster job launch for large structures [2023-3]
  • Surface Energy: Workflow module to compute surface energy [2023-3]

Materials Informatics

Product: MS Informatics

  • Machine Learning Property: Warning for molecular weight outside the model’s range [2023-3]
  • Machine Learning Property: Viscosity prediction for molecular liquids [2023-3]

Dielectric Properties

Product: MS Dielectric

  • Complex Permittivity: Improved assignment algorithm for CPU and GPU subjobs [2023-3]

MS Maestro Builder and Tools

  • Square pyramidal geometry option from complex builders [2023-3]
  • Extract Clusters: Jobs launched to queue [2023-3]
  • Extract Clusters: Option to extract single molecules [2023-3]
  • Meta Workflows: Option to set up implicit solvent in the QM stages [2023-3]
  • Meta Workflows: Support for a workflow-splitter stage [2023-3]
  • Meta Workflows: Support for workflow-split by polymer builder stage [2023-3]
  • Meta Workflows: Support for workflow-split by disordered system builder stage [2023-3]
  • Meta Workflows: Support for workflow-combine stage following a workflow-split [2023-3]
  • Meta Workflows: Incorporation of all structures from each stage [2023-3]
  • Meta Workflows: Built-in stage for Extract Clusters [2023-3]
  • Meta Workflows: Built-in stage for Conformational Search [2023-3]
  • Meta Workflows: Built-in stage for Evaporation [2023-3]
  • Meta Workflows: MD trajectories saved by default for single stage workflows [2023-3]
  • Meta Workflows: Preceding stage set as parent by default for a new stage [2023-3]
  • Query Bonds: Options to selectively show bonds through periodic boundaries [2023-3]
  • Solvate System: Advanced builder for a solvated systems with 100K+ atoms [2023-3]

Classical Mechanics

  • Barrier Potential for MD: Tool to set up repulsive barriers for MD simulations [2023-3]
  • Electrolyte Analysis: Support for polyatomic ions [2023-3]
  • Evaporation: Default length for each MD stage set as 20 ps [2023-3]
  • Molecular Deposition: Improved simulation speed [2023-3]
  • Molecular Deposition: Support for repulsive potential barrier [2023-3]
  • Polymer Crosslink: Image export from the viewer with 300 dpi [2023-3]

Quantum Mechanics

  • Reaction Workflow: Support for post-MacroModel XTB optimization [2023-3]
  • Reaction Workflow: Check to avoid non-minimum stationary states [2023-3]
  • Transition Moment Order Parameter: Workflow module to compute order parameter based on transition dipole moment [2023-3]

Education Content

  • New Tutorial: Applying Barrier Potentials for Molecular Dynamics Simulations [2023-3]
  • New Tutorial: Building Solvated Systems [2023-3]
  • New Tutorial: Dynamic Relaxed Coordinate Scans [2023-3]
  • New Tutorial: Calculating Transition Dipole Moments (TDM), TDM Distributions, and Order Parameter [2023-3]
  • Update: Molecular Deposition [2023-3]
  • Update: Modeling Surfaces [2023-3]
  • Update: Polymer Electrolyte Analysis [2023-3]

LiveDesign

What’s New in 2023-3

  • Assay Viewer Tool enhancements
    • Filter data by experiment date
    • Highlight cells in the LiveReport that match data in the Assay Viewer
    • Use keyboard arrow keys to navigate rows
    • Select multiple rows at once
  • Coloring Rules: Quickly transfer coloring rules from any column to any other column by copying and pasting coloring rules through the column menu
  • Ligand Designer: Convert a Parameterized Glide Model to an implicit Ligand Designer configuration, for example with FEP+ poses uploaded from Maestro
  • Maestro Export Enhancements
    • Map Maestro to LD properties to streamline frequent exports
    • Log in with single sign-on
    • Log in once and reuse the session across multiple export actions
  • UX Improvements
    • 3D Visualizer
      • Pi-pi interactions are shown by default within the 3D visualizer
    • Experimental Data Handling
      • Add hyperlinks to Assay Tooltips to quickly navigate to any website
    • General LiveReport Improvements
      • Quickly navigate to selected compounds by using new navigation buttons in the LiveReport footer
      • Find LiveReports more quickly through the LiveReport Picker, which opens the most recently accessed folder
      • Filters now shows a yellow notification bar after making any change
      • Notification bars now include a ‘x’ button to remove the notification
      • Close all open LiveReports by clicking a new “Close All” option in the LiveReport menu
    • Landing Pages
      • Hyperlinks in the Landing Page automatically open in a new tab
      • The Landing Page’s “Recently Commented Compounds” list now include a hyperlink to quickly navigate to the compound’s detail page
    • Plots
      • Move the compound image within plot tooltips
      • Box plots now show a solid blue color for each box
      • View accurately scaled plot overlays when the axis is set to logarithmic scale
    • Search
      • Search the active LiveReport for multiple IDs at once and delete multiple IDs
      • Filter GPUSimilarity search results with computed property thresholds
      • A clear button is available to reset the list of IDs in Search by ID
      • Searches within the Data & Columns tree now span across folders and column names to find matches, rather than looking for matches only within a continuous folder name or column name
    • Quickly select Experiment Protocols within the Generic Entity import UI with a new typeahead suggestion

What’s been fixed

  • Structure searches now correctly use the sketched structure after navigating between LiveReports and Landing Pages
  • Parameterized models that use MPOs as input now calculate when the MPO does not have a score
  • The Assay Viewer Tool can not longer delete Freeform column data
  • Compounds that get added to LiveReports with R-group decompositions now have their decomposed R-groups correctly colored without hard-refreshing the LiveReport
  • The Admin Panel Tasks list and Task Details Page now show the correct LiveReport ID that launched the task, after compounds are copied from one report to another and the model is recalculated
  • The Apply Template dialog now denotes which templates belong to the Global project, and lists the templates in alphabetical order
  • The Structure Processing UI within the Admin Panel shows structures more quickly
  • The Structure Processing interface within the Admin Panel now shows a loading indicator when uploading a processing file
  • Forms widgets now show a hammer and wrench icon to quickly access the Ligand Designer
  • Plots within Forms now show a tooltip when expanding the legend
  • The column header’s dropdown button is now visible after selecting multiple columns that extend beyond the screen width
  • Searching the LiveReport via the magnifying glass will now correctly scroll to results when the LiveReport has frozen rows
  • The Add and Change Model pages within the Admin Panel now list protocols alphabetically within the Parent Protocol dropdown
  • Navigating to a URL within the User Manual will correctly redirect to the User Manual page after logging in
  • Forms with long titles no longer alter the Form Toolbar’s alignment
  • Plot tooltips now permit reordering the list of properties
  • The LiveReport Picker UI is now consistent between Firefox and Chrome, and no longer highlights text after selecting multiple LiveReports via Shift+Click or Ctrl+Click (Cmd+Click on Mac)
  • The Tile view scroll bar no longer changes size while scrolling
  • Clicking on the Project Name in the upper left hand portion of the user interface will now open the Project Selection dialog
  • Freeform column descriptions can now be deleted when configuring a Freeform column
  • The Column Management panel now indicates which groups contain both visible and hidden columns
  • Tile view now shows and hides stereo annotations when using the “Show Stereo Annotations” toggle
  • Searching the LiveReport via the magnifying glass will now show results after filters conditions are removed
  • Password resets no long fail, which prevented password resets and adding new users
  • LiveReports that contain Layouts with one or more Matrix widgets can now be duplicated
  • Ligand Designer sessions no longer show a message that zero docking jobs are queued when the docking queue is empty
  • Uploaded experimental results from files for Generic Entities now appear in the Data & Columns tree
  • Templates from the Global project can no longer be overwritten from another project
  • Columns from unpublished Maestro uploads and file uploads of small molecules no longer appear in the Data & Columns tree
  • Reactions will now show the reaction image, and successfully compute, after a reaction is selected via double-clicking

Training & Resources

Online Certification Courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.

Other Resources

2nd Industrial Polymers & CPG Summit

2nd Industrial Polymers & CPG Summit

CalendarDate & Time
  • November 15th-16th, 2023
LocationLocation
  • Bismarckstraße 118, 51373 Leverkusen, Germany Lindner Hotel Leverkusen BayArena

We are pleased to invite you to the 2nd Industrial Polymers & CPG Summit: Driving Product Innovation Through Molecular Modeling

 

Hosted by Covestro & Schrödinger

This event will bring together leaders in industrial polymers and consumer packaged goods to explore how digital chemistry can drive innovation in product research and development. We will discuss how the combination of physics-based molecular simulation and machine learning can help reduce innovation timelines for new products and optimize existing product portfolios.

 

Agenda Highlights

  • Case study presentations by industrial scientists from Bayer, Cambrium, Covestro, Henkel and more on the impact of molecular simulations on their R&D projects
  • Panel discussion on opportunities for applying these methods within polymer and CPG R&D and challenges to adopt new technologies in an industrial setting
  • Presentation from Schrödinger scientist on the state of the industry and future technology developments
  • 1:1 meetings and networking with industry peers and academic thought leaders

Agenda

 
 

In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs

Webinar

In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs

CalendarDate & Time
  • November 14th, 2023
  • 12:00 PM PT / 3:00 PM ET / 8:00 PM GMT
LocationLocation
  • Virtual

Computational chemistry is ubiquitous in academic research in chemistry, materials science, and engineering. Applied molecular modeling can drive or supplement a research project – accelerating discovery processes, minimizing the need for extensive experimental testing, and providing atomic scale insights.

In this webinar, we will explore Schrödinger’s leading physics-based and machine learning computational technologies and provide a comprehensive introduction to the capabilities of computational modeling in chemistry, materials science, and engineering.

We will discuss workflows and applications for polymeric materials, electronics, aerospace, renewable energy, catalysis, and formulations.

    • Molecular and periodic quantum mechanics (DFT) for property prediction and reaction mechanism elucidation
    • Accelerated polymer modeling with all-atom molecular dynamics
    • Coarse-grained methods to explore larger systems and longer timescales
    • Advanced machine learning models for new material discovery
    • Educational and training resources, such as Schrödinger’s seven online materials science certification courses

Following the webinar, the speaker will also be available to answer questions. Whether you are a student, an early career researcher, or an established expert seeking to expand your field of knowledge, this webinar promises to be a valuable resource for all levels of expertise interested in staying at the forefront of computational modeling in materials science.

icon time 3:00 PM – 4:00 PM EST (1 Hour)

In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs

Our Speaker

Dr. Michael Rauch

Principal Scientist I Schrodinger

Dr. Michael Rauch is a Principal Scientist I at Schrödinger specializing in materials science and education. Michael earned his Ph.D. from Columbia University in synthetic organometallic chemistry as an NSF Graduate Research Fellow before pursuing a postdoctoral role in organic chemistry at the Weizmann Institute of Science as a Zuckerman Postdoctoral Scholar. Michael is particularly interested in green, sustainable chemistry and transforming the way that synthetic chemists utilize molecular modeling via practical education.

Register

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Release 2023-2

Library Background

Release Notes

Release 2023-2

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Added support for interactive nonstandard protein residue mutation via the Workspace context menu [2023-2]
  • Save up to 5K resolution GIFs (Workspace -> Animate) [2023-2]
  • Reduce unexpected visual clutter with new preference to limit the number of atom labels [2023-2]
  • Maestro to PyMOL connection [2023-2]
    • Create a simple PyMOL movie from Maestro scenes
  • Maestro to LiveDesign connection [2023-2]
    • Connect to LiveDesign servers with new access point and connection status indicator
    • Retain and reuse single sign on (SSO) tokens to streamline the login process
    • Benefit from a streamlined process of pushing Maestro data into LiveDesign via the Export panel
  • Export Structures – New option to export MD-ready structure / trajectory to CMS file [2023-2]
  • New “Show Atom Properties (beta)” panel [2023-2]
    • List multiple atom properties for selected atoms
    • Display SMARTS/SMILES patterns for contiguous selected atoms, including the SMARTS index of the hovered-over atom

Workflows & Pipelining [KNIME Extensions]

  • Includes the latest version of KNIME [2023-2]
  • Improved usability of the Extract Properties node configuration panel [2023-2]
  • Updated LiveDesign nodes and protocols: [2023-2]
    • Adaptable input column checking of the LiveDesign input node
    • KNIME protocol section to install extra KNIME extensions is more robust

Target Validation & Structure Enablement

Protein Preparation

  • Bond orders and charges can now either be re-assigned or only added to ligands and residues with missing bond orders [2023-2]

Protein X-Ray Refinement

  • Improved robustness when running Phenix/OPLS [2023-2]
  • New plots to inspect the best refinement statistics from Phenix/OPLS weight scans [2023-2]
  • Phenix/OPLS weight scan automatically choses a near-optimal combination of refinement parameters [2023-2]

AlphaFold Download / Process

  • Downloaded AlphaFold structures are returned with an automatically created heatmap of the PAE matrix [2023-2]
  • Processed AlphaFold structures can now be optionally capped and the pLDDT threshold changed [2023-2]

Multiple Sequence Viewer/Editor

  • New ability for the detection and annotation of Vernier zone residues in antibodies [2023-2]

IFD-MD

  • Added visual indicator when the target ligand is missing torsional parameters [2023-2]

Desmond Molecular Dynamics

Improved plotting for Trajectory Plots [2023-2]

Hit Identification & Virtual Screening

Ligand Preparation and Conformation Generation

  • Full support for Epik 7 pKa predictions within the LigPrep interface and command line invocation [2023-2]

Empirical and QM-based pKa Prediction

  • Conjugate acid/base labels are now included in the Epik 7 log file [2023-2]

Hit Analysis

  • Release of the new Hit Analysis interface to streamline interactive analysis and selection of hits from virtual screening campaigns based on molecular properties, ligand feature locations, and shape alignments [2023-2]

Active Learning Applications

  • Added ability to train on preexisting FEP data for relative and absolute AL-FEP [2023-2]
  • Added histogram of compounds prioritized by machine learning for relative and absolute AL-FEP [2023-2]
  • Modified default machine learning settings to improve out-of-the-box performance of relative and absolute AL-FEP [2023-2]

ABFEP

  • New capability for fast filtering of inactive ligands to dramatically improve ABFEP throughput [2023-2]

Lead Optimization

Macrocycles

  • Improved atom mapping in FEP+ maps for macrocycles [2023-2]

FEP+

  • New functionallity to auto-populate state populations in the FEP+ interface [2023-2]
  • Improved reporting of results in a single column (val ± err) in the overview tab of the FEP+ interface [2023-2]
  • Option to automatically merge force field parameters generated during an FEP+ job with those defined in your Maestro preferences [2023-2]
  • Option to select alternative water models for Relative Binding FEP+ via Advanced settings [2023-2]
  • Fast filtering of inactive ligands to dramatically improve ABFEP throughput [2023-2]
  • Improved atom mapping in FEP+ maps for macrocycles [2023-2]

Protein FEP

  • Ability to simultaneously predict protein thermostability with every protein/ligand selectivity simulation [2023-2]
  • Option to interactively edit perturbation topologies for protein residue mutations in FEP+ interface [2023-2]

Constant pH Simulations (Beta)

  • Greatly improved accuracy in protein pKa predictions through improved sampling of the physical end states of titratable residue side chains in FEP+ [2023-2]

Quantum Mechanics

  • New ability to plot excited state energies in rigid and relaxed coordinate scans [2023-2]
  • Support for alignment based on uniform scaling in the VCD/IR spectrum_align utility [2023-2]

Semi-Empirical Quantum Mechanics

  • Capability to use GFN2-xTB from within Jaguar and in Jaguar-based workflows [2023-2]

Biologics Drug Discovery

  • Improved protein descriptor calculation throughput with ability to run in parallel over multiple CPUs [2023-2]
  • Up to 5x speedup in protein surface calculations [2023-2]
  • Modeling of single-chain Fvs is now incorporated into the antibody structure-prediction interface [2023-2]
  • Modeling of F(ab)2 formats is now integrated into the antibody structure-prediction interface [2023-2]
  • MSV is now accessible directly from the protein-protein docking interface [2023-2]
  • Selected entries in antibody database management interface can now be exported to MSV and Maestro [2023-2]

Materials Science

GUI for Quantum ESPRESSO

Product: Quantum ESPRESSO (QE) Interface

  • Quantum ESPRESSO: Reduced disk usage with hybrid functionals [2023-2]
  • Quantum ESPRESSO: Option to import only the final structure in QE import GUI [2023-2]
  • Quantum ESPRESSO: Automatic q-point mesh setup with hybrid functional [2023-2]

Transport Calculations via MD simulations

Product: MS Transport

  • Diffusion Coefficient Viewer: Visualization of atoms selected for diffusion tracing [2023-2]
  • Viscosity: Expanded range of shear stress available for analysis [2023-2]

Materials Informatics

Product: MS Informatics

  • Machine Learning Property: Report of entries with failed predictions if any [2023-2]
  • Machine Learning Property: Density prediction for molecular liquids [2023-2]
  • Machine Learning Property: Models to measure uncertainties from the predicted properties [2023-2]

Coarse-Grained (CG) Molecular Dynamics

Product: MS CG

  • CG FF Builder: Better defaults for convergence [2023-2]
  • CG FF Builder: Option to set initial values [2023-2]
  • CG FF Builder: Option to save the force field file in viewer [2023-2]

Dielectric Properties

Product: MS Dielectric

  • Complex Permittivity: Option to adjust the length of dipole moment sample extracted from the source trajectory (command line) [2023-2]

MS Maestro Builders and Tools

  • Crystal: Edit option for lattice parameters when importing PDB without them [2023-2]
  • Manipulate Cell: Option to take multiple entries as input for selected operations [2023-2]
  • Meta Workflows: Support for molecular QM simulation stages [2023-2]
  • Meta Workflows: Option to compute ESP charges for subsequent stages [2023-2]
  • Semicrystalline Polymer: Improved robustness and speed for building semicrystal interface [2023-2]

Classical Mechanics

  • Crystal Morphology: Improved pop-up guideline for setting a proper input cell size [2023-2]
  • Improved UI to select atoms for substrate restraints in MD-based workflow panels [2023-2]
  • Droplet: Option to take existing MD simulation trajectory as input [2023-2]
  • Droplet: Support for built-in and custom solvents for contact angle prediction [2023-2]
  • Electroporation: Workflow module to simulate and assess membrane electroporation [2023-2]
  • Evaporation: Redesigned UI for the workflow setup panel [2023-2]
  • Evaporation: Support for evaporating multiple solvents [2023-2]
  • Evaporation: Added flexibility to evaporation zone definition [2023-2]
  • Evaporation Results: Load structures from one or more iterations into the Project Table [2023-2]
  • MD Multistage: Support for negative external electric field [2023-2]
  • MD Multistage: Option to remove center of mass velocity [2023-2]
  • Stress Strain: Support for sinusoidal loading (command line) [2023-2]

Quantum Mechanics

  • Adsorption Enumeration: Option to set bridging and hollow sites for adsorption [2023-2]
  • Complex Enumeration: Report of the ligand exchange stability in Project Table [2023-2]
  • Prediction of singlet excitation energy transfer rates (SEET) (command line) [2023-2]

Education Content

  • New Tutorial: Calculating Voltage Curves on Spinel Intercalation Compounds [2023-2]
  • New Tutorial: Machine Learning for Ionic Conductivity [2023-2]
  • New Tutorial: Electroporation [2023-2]
  • Update: Evaporation [2023-2]
  • Update: Droplet Contact Analysis [2023-2]
  • Update: Viscosity [2023-2]
  • Update: Machine Learning Property Prediction [2023-2]

LiveDesign

What’s New in 2023-2

Kubernetes versions of LiveDesign include:

  • Composite Rows
    • Create relationships between entities to better view the composition of complex mixtures, linking them as subcomponents and showing them as indented rows.
    • Get a better understanding of drug formulations by viewing the components that make up the mixture
    • Better define the composition of stereoisomeric mixtures
    • Analyze the differences between different battery electrolyte formulations

All versions of LiveDesign include:

  • Forms
    • Show data in a custom, dense arrangement with the Matrix widget
    • Search for compound IDs directly in the Compound Image widget
    • Set up forms more quickly, and identify columns to add to widgets more quickly, with an updated column shuttle
    • Collapse or expand all swimlanes in Kanban widgets using a menu option
    • Form widget titles automatically expand to show longer widget titles when a single widget is within a window
  • View any custom Experimental Metadata in the assay tooltips
    • Any metadata can be added to LiveDesign from corporate assay capture systems through the Data Integrator
  • Generic Entity – store, model, and analyze any kind of modality in LiveDesign
    • Purge and Overwrite experimental data
    • Append new data to a Lot
  • 3D Visualizer
    • View halogen bond and salt bridge interactions
    • Show Chain ID in the residue label
  • Significant improvements to streamlining integration of Maestro sessions and LiveDesign servers
    • Benefit from visual notice in Maestro of connected LiveDesign servers, user account recall, and automatic connection to LiveDesign with valid single sign-on
  • UI and UX Improvements
    • Independently size column groups and column headers in the LiveReport spreadsheet view
    • View column metadata in tooltip by hovering over a column title in the spreadsheet
    • View the true data point color in Plots after selecting data points
    • Expand and collapse the plot legend to avoid obscuring data points
    • Remove compound images from Plot tooltips
    • Resize columns in the Assay Data Viewer tool
    • Switch between row-per modes more easily
    • Use angle bracket and ampersand characters in formulas for manipulating strings, such as the split() formula
    • Importing compounds through a file and matching by IDs will now skip rows that do not have a match, and report which IDs failed to import

What’s Been Fixed

  • Cell coloring rules no longer extend beyond the edge of a tile
  • Data & Columns tree tooltips show the correct “View” button or “Edit” button for columns, based on each users’ assigned permissions
  • Date and Datetime display formats set within the Admin Panel now apply to all users with a role set to ‘User’
  • Editing a picklist Freeform column value in a Kanban widget will immediately update the tile’s location within the Kanban widget
  • Filter conditions for formula columns that include substructure images will correctly show the substructure images
  • Filter conditions on columns that have file attachments no longer show file IDs in the suggestion dropdown
  • Forms correctly show a pointer cursor instead of a grab cursor when viewing the form
  • Forms now support drilldown from Kanban widgets to Spreadsheet and Table widgets
  • Forms now support multiple instances of the same custom tool
  • Histogram and Pie plots permit creating a defined number of equally distributed bins
  • Histogram plots within Forms now permit defining custom bins
  • LiveDesign will start even if the preprocessor config includes unsupported fields
  • MPO desirability cell borders no longer show a color when the color is defined by a proxy value
  • MPO tooltips now appear in Form widgets that have a drilldown selection
  • Picklist Freeform columns now permit bulk copying dates from assay columns
  • Plots that use the Highlighted Substructure column will now show compound images when defining custom bins in Histogram and Pie charts
  • Plots with a regression line will correctly scale when the plot axes are converted to log scale
  • Plots with log axes no longer show negative values
  • Reagents with numeric IDs will correctly carry through their data when used within Reaction Enumeration
  • Scatter plots with three axes and many data points no longer show blank exports
  • Selecting a range of tiles in a Kanban widget, while holding down the shift key on the keyboard, will now only select the visible tiles within a vertical
  • The maximum number of data points allowed within a plot, set within the Admin Panel, now applies to all users with a role set to ‘User’
  • Toggling to different plot tabs in Forms will now show the correct data point tooltips
  • Typed text within filter conditions, that has not been saved, is now removed after selecting an option from the dropdown list

 

Training & Resources

Online Certification Courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.

Other Resources

Release 2023-1

Library Background

Release Notes

Release 2023-1

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Simultaneously mutate multiple selected nucleotides [2023-1]
  • Quickly select “Nucleic Acids” substructures in the Custom Sets editor dialogs [2023-1]
  • New Custom Presets functionality [2023-1]
    • Option to export subset of only selected presets
    • Expanded control with “Color by Element (Chain Name Carbons)” option
  • Improved “Maestro to PyMOL” capabilities [2023-1]
    • Improved discovery of “Send to PyMOL” option by moving it to the File menu
    • Option to include trajectory data in “Send to PyMOL”
  • Preference to “Keep center of rotation fixed while translating” now enabled by default [2023-1]
  • Project Table / Entry List improvements [2023-1]
    • Automatically scroll to the original row of a Shortcut Row entry with a double-click
    • Select rows where any of the included entries have atoms selected in the Workspace
  • Show/hide pharmacophore feature labels with the Annotations toggle [2023-1]
  • BioLuminate [2023-1]
    • Quickly select antibody-related segments such as CDRs, Fab, Fv and others with predefined selection sets
  • View, analyze and share molecular vibrations information with new Vibrations panel [2023-1]
    • Easy-to-use playback controls and tight interaction with the Workspace
    • Save frames from vibration frequency animation as 3D structures
    • Communicate with colleagues through exported movies of selected modes

Workflows & Pipelining [KNIME Extensions]

  • Support for KNIME (v4.7) added [2023-1]
  • Enhanced robustness of the Extract Properties node where new properties can now be included or excluded [2023-1]
  • The LigPrep node now reads setting files exported from Maestro [2023-1]
  • The new Protein Preparation Workflow node configuration panel is identical to Maestro’s [2023-1]
  • Improvements to LiveDesign Import and Export nodes [2023-1]
    • Move beyond ligands and proteins to import any 2D/3D structure into LiveDesign as generic entities
    • Import entire LiveReports into KNIME for analysis

Target Validation & Structure Enablement

Protein Preparation

  • Small peptides (< 200 atoms) can now also optionally be capped [2023-1]

Multiple Sequence Viewer/Editor

  • Use the Protein Family Alignment feature to align and annotate new sequences to a user supplied reference set for all protein families (beta) [2023-1]
  • Generate complement and reverse complement sequences for Nucleic Acid chains [2023-1]

Desmond Molecular Dynamics

  • Improvement in performance up to 1.17X (17%) in ns/day throughput realized from collaboration with NVIDIA. The largest speed improvements from running on modern GPUs with small to moderate sized systems [2023-1]

QM/MM (Qsite)

  • More robust and reliable minimizations from switching default minimizer from truncated newton to conjugate gradient [2023-1]
  • Added support for dispersion-corrected functionals including DFT-B3LYP-D3, DFT-M06-2X-D3, DFT-B3LYP-D3(BJ), DFT-M06-2X-D3(BJ), DFT-wB97X-D, and DFT-B97-D3 [2023-1]

AutoQSAR

AutoQSAR & DeepAutoQSAR

  • Normalize numeric additional features to eliminate instability in network training in case of very large or small values [2023-1]

Hit Identification & Virtual Screening

Shape Screening

  • Easily restart Shape GPU calculations from the command line [2023-1]

Lead Optimization

FEP+

  • Significant performance improvements of up to 1.4X in FEP+ perturbations/day realized from collaboration with NVIDIA. The greatest speed boosts are observed on larger core count GPUs with small to moderate sized systems [2023-1]
  • Improved interface usability when handling groups, including how values are applied to maps [2023-1]
  • Automatically calculate protomer/tautomer/conformer populations using Epik7 with fep_groups.py script [2023-1]

Quantum Mechanics

  • Easily hide and redisplay spectra in the Spectrum Plot interface [2023-1]
  • Added support for rSCAN, r2SCAN, and r2SCAN-D3(BJ) DFT functionals [2023-1]
  • Added support for thirty-four D4 dispersion corrected functionals [2023-1]

Semi-Empirical Quantum Mechanics

  • Switch from MOPAC7.1 to MOPAC2016 calculation engine for Semiempirical interface [2023-1]

Medicinal Chemistry Design

Ligand Designer

  • Design for ligand selectivity through visualization of binding site volumes accessible to only one of two receptors and identifying ligands that dock well into only one of two receptors (beta) [2023-1]

Biologics Drug Discovery

  • Perform simultaneous back mutations of multiple residues in Antibody Humanization using the CDR grafting workflow [2023-1]
  • Quickly select antibody-related segments such as CDRs, Fab, Fv and others with predefined selection sets [2023-1]
  • Connect data to structure in Residue Scanning where selecting residues in the Workspace now also selects the residues in the Residue Scanning table [2023-1]
  • ‘Crosslink Protein’ interface has been renamed to ‘Protein Linker Design’ to more accurately reflect its purpose. and now includes access to a choice of two loop library databases, one for constructing intradomain linkers and the other for inter-domain linkers [2023-1]

Materials Science

GUI for Quantum ESPRESSO

Product: Quantum ESPRESSO (QE) Interface

  • Quantum ESPRESSO: Improved scalability and versatility of NEB workflow [2023-1]
  • Quantum ESPRESSO: Support for RISM-3D (command line) [2023-1]
  • Quantum ESPRESSO: Dimer method for finding transition states (command line) [2023-1]
  • Quantum ESPRESSO: Option to apply Niggli reduction (command line) [2023-1]

Materials Informatics

Product: MS Informatics

  • Machine Learning Property: Boiling point prediction over a range of pressure [2023-1]
  • Machine Learning Property: Interactive prediction for up to 10 selected entries [2023-1]

Coarse-Grained (CG) Molecular Dynamics

Product: MS CG

  • Improved loading speed for a CG system in trajectory viewer [2023-1]
  • CG FF Builder: Warning from *.log for discrepancy in reduced density [2023-1]
  • CG FF Builder: Support for force constants with zero angles [2023-1]
  • CG FF Assignment: Improved UI for setting reduced density and cutoff distance [2023-1]
  • CG FF Assignment: Support for populating reduced density from the FF file [2023-1]
  • CG FF Assignment: Warning for CG particles with large differences in radii [2023-1]

Molecular Dynamics

Product: Desmond

  • Improvement in performance up to 1.17X (17%) in ns/day throughput realized from collaboration with NVIDIA. The largest speed improvements from running on modern GPUs with small to moderate sized systems [2023-1]

MS Maestro User Interface

  • Periodic boundary condition accounted for evaluating “within/beyond” ASL [2023-1]

MS Maestro Builders and Tools

  • Manipulate Cell: Option to shift origin [2023-1]
  • Meta Workflows: Module for building and running multiple connected workflows [2023-1]
  • Polymer: Support for monomers marked by Mark Head and Tail (command line) [2023-1]
  • Query Bonds: Zoom to a bond selected in a row from the panel [2023-1]
  • Structured Liquid: Expanded list of built-in lipids [2023-1]

Classical Mechanics

  • Droplet: Module to predict contact angle of water droplet on a given substrate [2023-1]
  • Evaporation: Workflow module to simulate evaporation with molecular dynamics [2023-1]
  • Molecular Deposition: Allow to request only one MD per iteration [2023-1]
  • Prepare for MD: Option to scale DPD systems based upon the force field [2023-1]
  • Prepare for MD: Additional post-processing for Martini 2.x (command line) [2023-1]

Quantum Mechanics

  • Complex Enumeration: Support for non-metal center in complex stability analysis [2023-1]
  • Macro pKa: Option to assign active atoms in the course of generating tautomers [2023-1]

Education Content

  • New Tutorial: Meta Workflow [2023-1]
  • New Tutorial: Water Droplet Contact Analysis [2023-1]
  • New Tutorial: Liquid Electrolyte Properties: Part 1 [2023-1]
  • New Tutorial: Liquid Electrolyte Properties: Part 2 [2023-1]

LiveDesign

What’s New in 2023-1

  • Project Overview Landing Page: View summarized landing page information
  • Vertical only Kanban: Create a Kanban view using a single picklist Freeform column
  • Forms
    • Use keyboard controls with the Compound Image widget to navigate from one compound to another
    • Define independent column widths for each widget
  • Generic Entity: Store Lot and Experimental data on any chemical, biological, or material matter with any representation
  • New enhancements to existing features, such as:
    • View the regression equation on scatter plots
    • Admins can log out users by removing their assigned Roles, or by specifying a specific username
    • Removing a single enhanced stereochemical AND group with the structure processor now defines the stereocenter as ‘undefined’, and previously would define is as an absolute stereocenter
    • Use advanced atom query features in substructure filtering
  • Performance Improvements
    • SAR analysis tasks are performed asynchronously and take less time to complete
    • The 3D visualizer is more responsive when large proteins are viewed

What’s Been Fixed

  • Models that returned a single value now show the full result unaligned with other columns
  • The 3D visualizer uses the high performance GPU on client computers to avoid crashes
  • Pasting multiple values into ID search will attempt to automatically identify the delimiter, or present an option to select the delimiter, by which to separate values
  • Limited Assay Columns are now included in Matched Molecular Pairs analyses
  • Pasting multiple values into Filters will attempt to automatically identify the delimiter, or present an option to select the delimiter, by which to separate values
  • File import receipts show a scroll bar for errors parsing SD files
  • Pinned plot tooltips in forms update the connecting line when the view is resized
  • The file import receipt now shows IDs from SD file title lines
  • Overlay lines in plots will now extend to the full plot dimensions
  • Automatically generated coloring rules for R-groups, Scaffolds, and String columns that were created through the plot interface will now appear in plots
  • Pinned tooltips now point to the correct data points in box plots
  • The radar chart legend now shows which compound IDs are out of range by hovering over the “Out of Range” entry in the plot legend
  • Multi-parameter optimization column dialogs appeared to allow unauthorized users to edit the definition, however any edits submitted were not saved. The dialog now shows all fields as disabled to unauthorized users.
  • LiveReports set to Read-Only no longer allow users to configure Tile View
  • Line charts no longer show R-groups as SMILES strings in the plot legend, and instead show images
  • Forms with many narrow widgets not longer show errors when editing the Form
  • Dragging to select multiple histogram bars will select all of the compounds within the bin

Training & Resources

Online Certification Courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.

Other Resources

Release 2022-4

Library Background

Release Notes

Release 2022-4

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Create and share custom visualization Presets  [2022-4]
  • Added support to mutate DNA/RNA to standard nucleobases  [2022-4]
  • New Workflow Action Menu to guide to next steps for Plot Rigid/Relaxed scans [2022-4]
  • First full release of the new 2D sketcher [2022-4]
  • Get Going with Maestro Video Series added to Documentation [2022-4]

Workflows & Pipelining [KNIME Extensions]

  • Includes the latest version of KNIME (v4.6.1) [2022-4]
  • The number of matches can now be controlled in the Phase screening node [2022-4]

In LiveDesign:

  • When deploying a model the suitable KNIME protocol is chosen automatically and the latest version of the protocol uploaded [2022-4]
  • Distribution of calculations is controlled from the model admin page [2022-4]
  • Model changes from the LiveDesign Admin page can be preserved when overwriting an existing model [2022-4]
  • A new administration node to move, archive and unarchive models [2022-4]

Target Validation & Structure Enablement

Protein Preparation

  • Significant speedup when opening the Protein Preparation Workflow interface on Windows [2022-4]
  • Reduced verbosity of Protein Preparation Workflow log file by limiting irrelevant CCD bond assignment error notices [2022-4]
  • Protein Reliability Report will generate TEST reflections on-the-fly, if not available in provided .cv file, and report RSCC values [2022-4]
  • Updated PROPKA to (latest) version 3.4 [2022-4]

Protein X-Ray Refinement

  • Introduction of GlideXtal command line tool for automatic ligand fitting in crystallographic electron density maps [2022-4]
  • PrimeX minimization is able to use structure factors in CIF format [2022-4]
  • In Phenix/OPLS can now remove all entities clashing with crystal mates [2022-4]
  • Phenix/OPLS is more robust to missing atoms in standard residues [2022-4]

Cryo-EM Model Refinement

  • Beta GlideEM interface for ligand placement into cryo-electron density maps [2022-4]
  • GlideEM now accepts gzipped (CCP4, MRC, MAP) files as input [2022-4]

Multiple Sequence Viewer/Editor

  • Beta release of Protein Family Alignment and Annotation [2022-4]
    • A new category named ‘Family Feature Calculation’ located in the ‘Other Tasks’
    • Menu exposes protein family alignment and annotation
    • Supports kinase and GPCR Alignments
    • Supports annotation of GPCR regions
  • Dendrogram hover tooltip to display distance information [2022-4]

IFD-MD

  • Membrane-bound IFD-MD tutorial [2022-4]
  • Covalent ligand IFD-MD tutorial [2022-4]

FEP+

  • Show user-friendly message when undefined stereochemical centers are introduced [2022-4]
  • Improved usability of FEP+ group panel to manage protonation and tautomeric states ensemble – for more accurate ΔΔG predictions [2022-4]

Constant pH Simulations (Beta)

  • Improved usability of constant pH simulations for protein pKa calculations with friendly outputs [2022-4]

AutoQSAR

  • Added MACCs keys for ligand featurization in DeepAutoQSAR [2022-4]
  • Include ElasticNetCV model (strongly l1/l2 regularized linear regression) in DeepAutoQSAR hyper-parameter optimization [2022-4]
  • New DeepAutoQSAR command line utility for greater ease-of-use [2022-4]

Desmond Molecular Dynamics

  • In Trajectory Plots view Ramachandran plot of Protein Residues [2022-4]

Empirical and QM-based pKa Prediction

  • Initial release of Epik 7, a new machine learning based application for fast pKa value and protonation state prediction [2022-4]
    • Epik 7 can also produce a plot giving the populations of states as a function of pH

Solubility FEP (Beta)

  • Option to show solubility results in logS unit [2022-4]

Quantum Mechanics

  • Calculate ESP charges for excited states under the TDDFT/TDA approximation [2022-4]
  • Complete calculations faster with parallel Jaguar calculations on Windows [2022-4]
  • New Workflow Action Menu to guide to next steps for Plot Rigid/Relaxed scans [2022-4]
  • Over 80 examples of Jaguar input files in documentation [2022-4]

Semi-Empirical Quantum Mechanics

  • GFN2-xTB method now available in the Semiempirical Module panel [2022-4]

Biologics Drug Discovery

  • To improve protein linker design, the loop database was updated to a new version specifically intended for interdomain linker design [2022-4]
  • To expand chemical liability detection, Asp isomerization pattern and free cysteine detection were added to the Reactive Residues interface [2022-4]
  • New command-line script for running Protein Interaction Analysis with the ability to export results to csv format [2022-4]
  • First full release of Protein Descriptors interface which now supports .mae and .maegz files containing multiple structures [2022-4]
  • Copy-paste sequences into Antibody Structure Prediction interface under new “Enter new sequence” option [2022-4]
  • Reuse the same input csv file format for batch homology modeling in Antibody Structure Prediction when running from the command line or Maestro [2022-4]
  • Added support for ‘keep glycan’ option in Antibody Structure Prediction during batch modeling [2022-4]
  • Cysteine scanning panel for disulfide design now supports remote job submission which is useful for running large jobs e.g. using when MD trajectory as input [2022-4]
  • Added “Antibody-Antigen” to Interactions scope dropdown [2022-4]
  • Get Going with BioLuminate Video Series added to Documentation [2022-4]

Materials Science

GUI for Quantum ESPRESSO

  • Quantum ESPRESSO GUI: Option to hide selected atoms [2022-4]
  • Quantum ESPRESSO GUI: Upgraded NEB UI for improved UX [2022-4]
  • Quantum ESPRESSO: Endpoints saved for NEB mae files at each iteration [2022-4]
  • Quantum ESPRESSO: Reduced file size for custom saved NEB setups [2022-4]
  • Quantum ESPRESSO: Use of automatic parallelization with GUI support [2022-4]
  • Quantum ESPRESSO: -save_failures option for driver (command line) [2022-4]
  • Quantum ESPRESSO: -last_only option for qe2mae tool to save the final structure only  (command line) [2022-4]
  • Quantum ESPRESSO: HUBBARD options enabled in input *.cfg (command line) [2022-4]
  • Quantum ESPRESSO: Automatic restart for long AIMD simulations [2022-4]
  • Quantum ESPRESSO: Support for cell volume relaxation [2022-4]

Molecular Dynamics

  • Viscosity: ”,” used as the delimiter in CSV output for Einstein-Helfand analysis [2022-4]

Materials Informatics

  • Machine Learning Property: Pre-built, validated machine learning models for a selective list of materials properties [2022-4]
  • Molecular Descriptors: Report of semiempirical HOMO-LUMO gap [2022-4]
  • Molecular Descriptors: Support for plotting molecular orbitals [2022-4]

Coarse-Grained (CG) Molecular Dynamics

  • Support for Ewald sums with Martini force field [2022-4]
  • CG FF Builder: Option to export the viewer data to CSV [2022-4]
  • CG FF Builder: Support for the use of existing trajectory [2022-4]
  • Map Atoms to Particles: Option to map selected atoms from the input structure [2022-4]

Penetrant Loading Simulation

  • Penetrant Loading: Robust handling of GCMC water models [2022-4]
  • Penetrant Loading: Visualization of periodic unit cell for the output structures [2022-4]

MS Maestro User Interface

  • Resized Trajectory Analysis task frame in Maestro for better user experience [2022-4]

MS Maestro Builders and Tools

  • Complex Builder: Expansion of ligand library [2022-4]
  • Disordered System: Option to generate cells with different numbers of molecules [2022-4]
  • Elemental Enumeration: Jobs launched to queue instead of running interactively [2022-4]
  • Manipulate Cell: Option to translate within -0.5 and 0.5 of the fractional coordinate [2022-4]
  • Manipulate Cell: Support for change of lattice dimensions without FF retyping [2022-4]
  • Query Bonds: Option to export output to CSV [2022-4]
  • Semicrystalline Polymer: Option to use existing crystal (command line) [2022-4]
  • Semicrystalline Polymer: Reporting percentage of crystallinity [2022-4]
  • Semicrystalline Polymer: Speed-up for building with polymer models [2022-4]

Classical Mechanics

  • MD Multistage: Improved estimation of timestep for Martini systems [2022-4]
  • MD Multistage: Option to concatenate stages together for speed-up [2022-4]
  • MD Multistage: Built-in Martini relaxation protocol suitable for NVT ensemble [2022-4]
  • MD Multistage: Option to only write out selected molecules to trajectories (command line) [2022-4]
  • Stress Strain: Output CSV updated at each new data point [2022-4]
  • Thermophysical Properties: Support for Parrinello-Rahman barostat (command line) [2022-4]

Quantum Mechanics

  • Band Shape: Option to add/select implicit solvent [2022-4]
  • Organometallic Conformational Search: Option to select conformers after QM calculations (command line) [2022-4]
  • Organometallic Conformational Search: Support for custom MacroModel COM files (command line) [2022-4]
  • Organometallic Conformational Search: Support for MOPAC (command line) [2022-4]

Education Content

  • Get Going with Materials Science Maestro Video Series added to Documentation [2022-4]
  • Quick Reference Sheets available from both Documentation and Training webpages [2022-4]
  • New Tutorial: Evaporation [2022-4]
  • New Tutorial: Machine Learning Property Prediction [2022-4]
  • Updated Tutorial: Polymer Electrolyte Analysis [2022-4]
  • Updated Tutorial: Computing Atomic Charges [2022-4]
  • Updated Tutorial: Activation Energies for Reactivity in Solids and on Surfaces [2022-4]
  • Updated Tutorial: Organometallic Complexes [2022-4]

LiveDesign

What’s new in LiveDesign 2022-4

  • The number of logins is enforced by a license limit: Users who attempt to log in after the number of available seats have been assigned will be denied access to LiveDesign
  • Admins can forcibly log out users: Users can be forcibly logged out by removing their assigned Roles, or by specifying a specific username
  • File Import Receipt: Receive feedback on file imports when the file contains errors, and instructions on how to correct the errors
  • Sketcher Improvements:
    • Implicit mode sketcher: Quickly switch between editing compounds and selecting a subset of the compound, by clicking directly on the select tools and draw tools
    • Delete an atom by hovering over it and pressing the Backspace key on the keyboard
  • Setting a protocol’s parameter to “Set Default” in the admin panel changes all existing models’ parameter to “Set Fixed”
  • Interaction Surface within LigandDesigner: view the interaction surface to determine available growth space within a binding pocket
  • Copying a single compound from the spreadsheet can be copied in a Mol v3000 format: a server wide setting permits copying a single molecule as either Extended SMILES or Mol v3000. Selecting and copying multiple compounds as once will copy the compounds using a SMILES format
  • Freeform column picklist options can be reordered: Editing a Freeform column definition permits reordering the picklist options
  • UI Improvements
    • View more tiles on screen in Tile View, which has a much smaller tile size limit
    • View more data in a spreadsheet cell; the “More Available…” message within spreadsheet cells has been replaced with a gradient to indicate additional data is in the cell
    • Users can use Ctrl-Click to easily display results from additional 3D models in the 3D visualizer.
    • Exported compound structure images will now include stereochemistry labels if these are turned on in the spreadsheet.

What’s Been Fixed

  • Model columns can now be sorted and filtered when the cell contains both blank values and numeric or string values. Sorting will use the first non-empty value in the cell.
  • Advanced searches with multiple Freeform column conditions return the same results even if the condition order is changed
  • Compound images no longer show large atom labels when clicking on them within the main spreadsheet
  • Project admins can edit all formulas within their projects
  • Pinned plot tooltips in the visualize panel will reappear even after switching to another plot or another LiveReport
  • Deleted LiveReports cannot be reopened by navigating directly to the LiveReport’s URL
  • Pinned plot tooltips in forms update the connecting line when the view is resized
  • Pasting multiple values into Filters will, once again, attempt to automatically identify the delimiter, or present an option to select the delimiter, by which to separate values.
  • The LiveReport Manager dialog no longer obscures the last LiveReport with a horizontal scroll bar
  • Bond angles for attachment points and carbon atoms from R-group decompositions are now displayed as angles of less than 180 degrees, while before they were displayed at a 180 degree angle
  • LiveReports with 3D model returns no longer show a red error bar after opening
  • Commons-text has been upgraded to patch security vulnerability CVE-2022-42889
  • The 3D visualizer uses the high performance GPU on client computers to avoid crashes
  • Formula results no longer disappear from the spreadsheet when columns used in the formula are hidden in the LiveReport
  • The matched molecular pairs tool no longer fails to parse chiral compounds represented in an Extended SMILES format
  • Error messages no longer sporadically appear when models are updated and saved in the Admin Panel

Training & Resources

Online Certification Courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.

Other Resources

Release 2022-3

Library Background

Release Notes

Release 2022-3

Small Molecule Drug Discovery

Target Validation & Structure Enablement

Protein Preparation

  • Reorganized and grouped Protein Prepwizard command line options for improved clarity and correspondence with the Maestro interface [2022-3]
  • Improved valence error reporting in Diagnostics interface [2022-3]
  • Several orders of magnitude speedup when assigning zero-order bonds and running the Epik stage in the Protein Prepwizard on large structures such as a ribosome [2022-3]
  • Several times faster performance of ProtAssign when running on large structures with many small clusters or structures with a few large clusters [2022-3]
  • Addition of -include_ligand_states flag in command line prepwizard and protassign scripts, to include Epik generated ligand states during the hydrogen bond assignment stage [2022-3]

Protein X-Ray Refinement

  • Phenix/OPLS: Option to significantly improve computational performance by lowering the nonbonded energy term cutoff [2022-3]
    • A Phenix-side option schrodinger.flags.nonbonded_cutoff changes the cutoff. Default is to not change the cutoff. This has been tested with a cutoff of 10 angstrom, which increases computational efficiency by several times while no penalty to refinement statistics is observed.

Cryo-EM Model Refinement

  • Introduced a new mode peptide for GlideEM, for enhanced peptide sampling with the command line parameter -nconformers specifying the number of conformers to generate [2022-3]
    • Additional input conformations are generated by running confgen on the peptide and redocking each conformation. The time and required computational resources required scale linearly with -nconformers
  • Binding pocket / docking grid center can now be specified by binding site ASL and the ligand provided in a separate file in GlideEM [2022-3]
    • The binding site can be specified using the new -binding_site_asl command line argument, which requires an ASL that specifies residues near the binding site. The docking grid center will be the geometric mean of all atoms specified by the ASL. The ligand can be provided using the -ligand_struct command line argument

Platform Environment

Maestro Graphical Interface

  • Apply styling and change molecular representations on selected entries [2022-3]
  • New Workflow Action Menu support for Protein-Protein Docking [2022-3]
  • “Send to PyMOL” panel preserves Maestro’s non-bonded interactions when viewed in PyMOL [2022-3]
  • Create zero order bonds withing the 2D sketcher [2022-3]
  • More reliable selection with improved accuracy of selecting atoms and bonds within the 2D sketcher [2022-3]
  • Save user selection of authentication with LiveDesign by either credentials or single sign-on [2022-3]
  • New Help icon provides access to relevant tutorials as well as documentation [2022-3]

Force Field

  • Improvements to scalability of large FFBuilder jobs [2022-3]

Workflows & Pipelining [KNIME Extensions]

  • Schrödinger extensions are compatible with KNIME 4.6 [2022-3]
  • Create and apply ML models with new DeepAutoQSAR nodes [2022-3]

Hit Identification & Virtual Screening

ABFEP

  • Performance in ABFEP loading [2022-3]

Lead Optimization

FEP+

  • Drastically improved interactive performance of FEP+ Analysis tab interface with large maps with 100s of nodes edges [2022-3]
  • Correlation plots will show pairwise ddG histogram (previously edgewise was shown) [2022-3]
  • State Groupings GUI [2022-3]
    • Tautomers
    • Protomers
    • Conformers (binding poses)

Protein FEP

  • Residue Mutation Selection layout change [2022-3]
    • Added support of CYM amino acid (deprotonated Cysteine)

Constant pH Simulations (Beta)

  • The pH interval is fixed at 0.5 units and show number of resulting replicas [2022-3]

Solubility FEP

  • Experimental ΔG data is shown in Analysis tab if the data is available [2022-3]

Biologics Drug Discovery

  • Protein Interaction Analysis
    • Filter protein-protein interaction by residue features, non-bonded interaction types, and interaction distances [2022-3]
    • Buried solvent-accessible surface area and surface complementarity of interface residues reported in results table [2022-3]
    • Select, display and style only interface residues in interaction analysis panel [2022-3]
  • Residue Mutation
    • Enhanced performance of residue scanning from Maestro, enabled hundreds of thousands of mutations to be examined simultaneously [2022-3]
    • Mutated residue name added as as property in the residue scanning output structure to facilitate downstream analysis and workflow scripting [2022-3]
  • Protein-Protein Docking:
    • Guidance on common next steps provided following PIPER docking through the Workflow Action Menus  [2022-3]
  • Antibody Loop Modeling
    • Specify numbering scheme, and thus loop definitions, prior to running PRIME loop refinement including Chothia, Enhanced Chothia, Kabat, IMGT and AHo [2022-3]

Materials Science

GUI for Quantum ESPRESSO

  • Effective Screening Medium: Option to align structures in GUI from selected entries [2022-3]
  • Quantum ESPRESSO: Support for runner.py to run TDDFPT [2022-3]
  • Quantum ESPRESSO: Restart option for ab initio MD (command line) [2022-3]
  • Quantum ESPRESSO: Support for slab models with custom dimensionality [2022-3]
  • Quantum ESPRESSO: Upgrade to Quantum ESPRESSO 7.1 [2022-3]

Molecular Dynamics

Transport Calculations via MD simulations

  • Viscosity: Thermostat and barostat settings (command line) [2022-3]

Coarse-Grained (CG) Molecular Dynamics

  • CGFF Builder: Better estimation of particle volume prediction using atomistic structures [2022-3]
  • CGFF Builder: Option to set common mass for all particles. [2022-3]
  • CGFF Builder: Implicit charges stored in the FF file and reported in the viewer [2022-3]
  • CGFF Builder: Option to import saved SMARTS pattern [2022-3]
  • CGFF Builder: Default bond-length bounds adjusted by the cutoff [2022-3]
  • CGFF Builder: Each CG-mapped molecule type saved as a copy [2022-3]
  • Viscosity: Automatic setup of thermostat and barostat for CG systems [2022-3]

Optoelectronics

  • AL OptoE: Expanded property space for optimization [2022-3]

Dielectric Properties

  • Complex Permittivity: Improved UI to show permittivity for specified frequency [2022-3]
  • Complex Permittivity: Separate visualization of storage and loss functions [2022-3]

MS Maestro Builders and Tools

  • Nanostructure: Periodicity of the output structures set by default [2022-3]
  • Polymer: Template for Chitosan and Xanthan Gum under Carbohydrates [2022-3]
  • Polymer: Hydroxyl group as the default terminator for carbohydrates [2022-3]
  • Semicrystalline Polymer: Support for running on multiple hosts [2022-3]

Classical Mechanics

  • Molecular Deposition: Preview of the number of MD stages [2022-3]
  • MD Multistage: Temperature control in brownian stage [2022-3]
  • MD Multistage: Relaxation protocol for stiff polymers [2022-3]
  • Polymer Crosslink: Option to store and recall SMARTS patterns [2022-3]
  • Polymer Crosslink: Option for SMARTS search method (command line) [2022-3]
  • Stress Strain: Option for SMARTS search method (command line) [2022-3]
  • Stress Strain: Speed up (up to 2x) of cyclic stress strain jobs [2022-3]
  • Stress Strain: Preview of total simulation time from the GUI [2022-3]
  • Surface Tension: Support for long-range cut-off [2022-3]
  • Surfactant Tilt: Improved UI for surfactant selection [2022-3]
  • Trajectory Density Analysis: Improved UI for trajectory range setup [2022-3]

Quantum Mechanics

  • Adsorption Enumeration: Option to position adsorbate distanced from the substrate [2022-3]
  • Excited State Analysis: Support for custom definition of fragment [2022-3]
  • QM Multistage: Option to turn off robust convergence [2022-3]
  • Ligand Exchange: Report of detailed progress in the driver log [2022-3]
  • Automatic spin treatment as default for Jaguar Options within QM panels [2022-3]
  • Reaction Workflow: Support for geometry deduplication [2022-3]
  • Reaction Workflow: Support for η- or centroid- representation for output [2022-3]
  • Reaction Workflow: Support for specifying R-group enumeration sites [2022-3]

LiveDesign

What’s new in LiveDesign 2022-3

  • Machine Learning: Predict properties by building and using DeepAutoQSAR and a model management tool
  • Kanban layouts: Visualize and manage workflows, projects, and synthesis queues
  • View all assay data for a compound: Query all assay data for a compound by using the Assay Data Viewer tool
  • Matched Molecular Pairs: Perform a matched molecular pairs analysis by querying precomputed datasets or generating analyses on-the-fly, and analyze multiple properties at once
  • New enhancements to existing features, such as:
    • Configure models to use options from a picklist
    • Plot multiple experimental values for a single compound
    • Updated plot legend that no longer overlays the plot
    • View drop down suggestions that are specific to the LiveReport in Filters, Coloring Rules dialogs, and MPO Configuration dialogs
    • Switch modes in the Sketcher by using the keyboard’s spacebar
    • Ligand Designer allows for more simultaneous users due to more rapid license checkout and return
    • Compound images show heteroatoms that are proportional to bond lengths
    • Hide tabs on Forms widgets to improve screen real estate usage
    • Updated tooltips for experimental values, which can open the Assay Viewer tool to inspect experimental metadata
    • Automatically generate coloring rules based on row selection for categorical columns
  • New performance improvements that speed up advanced search, speed up sorting, and speed scrolling in LiveReports with many columns
  • Workflows & Pipelining [KNIME Extensions]
    • When deploying a model the suitable KNIME protocol is chosen automatically and the latest version of the protocol uploaded
    • Distribution of calculations is controlled from the model admin page
    • Model changes from the LiveDesign Admin page can be preserved when overwriting an existing model
    • A new administration node to move, archive and unarchive models

What’s been fixed

  • Column tree search terms and results are now resetting upon clicking cancel on a dialog and accessing again.
  • Tile View header names  for unpublished columns use a hash background for the entire cell, while before it was only used for the text itself.
  • A format inconsistency when a Tile includes a 3D column has been fixed.
  • The “Unfreeze all rows” message now disappears once clicked from other views than spreadsheet, while before it was persisting.
  • Global templates can now be applied to an existing LiveReport.
  • The display of the tooltip of the Save button for Landing Page bookmarks has been fixed.
  • In the LiveReport picker, selection is now kept if the creation of a new folder is aborted.
  • LiveReports including MPO can now be copied to other projects.
  • Project picker does not persist anymore if a user navigates to a LiveReport using its URL.
  • Date field values of Landing Page bookmarks are now validated. An incorrect value will trigger a warning message.
  • Template search on Landing Page is now case insensitive.
  • MPO tooltip now properly displays all constituents information even for constituents not present in the current view.
  • MPO tooltip position was not consistent depending on the presence of a proxy value score. It now is.
  • MPO score now appropriately reflects the change of a previously defined constituent that is changed to a null value.
  • Legend now pops out with a chart when not attached.
  • Plot legend is now appropriately repositioned upon screen resolution changes.
  • Box Plots now supports a larger number of data points.
  • Export to image of line plots split by series with a large amount of data now include all data points as expected.
  • Histogram and Pie plot tooltips now show decimal separators as per the server setting.
  • In the Firefox browser, user axis font size is now taken in account while it was ignored before.
  • The warning message indicating that the number of allowed points in a plot has been exceeded is now properly displayed. In particular it is not hidden anymore by the message offering to activate Jitter functionality in scatter plots.
  • When exporting plots to images, data points now have borders, preventing points without color to not be displayed in the image.
  • Sgroup annotations of abbreviated functional groups for structure imported in v2000 CTAB format are now properly displayed.
  • The property RDKIT_STRUCTURE_PROCESSOR_SGROUP_FIELD_NAMES, which defines which Sgroup fields should be considered as part of registration, is now properly taken in account.
  • R-group Decomposition now matches tautomers when “RDKIT_TAUTOMER_SEARCH” is set to true.
  • First click on the sketcher now focuses the input, while before it was adding a CH4 to the sketch.
  • Fix an issue impacting the sketcher display after successive change of the size and/or minimization of the browser window.
  • Upon upgrade, the new version of the sketcher does not require a hard refresh of the page orto clear the browser cache.
  • Dragging a compound into the sketcher, and then adding a ring or bond, will show a proportionally sized ring or bond.
  • Advanced searches with an inverted “Presence in LiveReport” now return results.
  • Freeform columns that are hidden in the LiveReport now appear as options for the Kanban widget.
  • The kanban widget now shows tiles in edit mode after configuring the widget.
  • R-groups can now be added to the LiveReport via the sketcher.
  • Uploading unpublished data from Maestro, and then re-uploading that data as published to the same LiveReport, now shows those columns in the Data & Columns tree.
  • Hidden columns now appear in the file export when they are explicitly selected.

Training & Resources

Online Certification Courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.

Other Resources

Citations

Citations

AutoTS

  • Jacobson, L.D.; Bochevarov, A. D.; Watson, M. A.; Hughes, T. F.; Rinaldo, D.; Ehrlich, S.; Steinbrecher, T. B.; Vaitheeswaran, S.; Philipp, D. M.; Halls, M. D.; Friesner, R. A., “Automated Transition State Search and Its Application to Diverse Types of Organic Reactions”, J. Chem. Theory Comput. 2017, 13(11), 5780–5797

Schrödinger Release 2026-2: AutoTS, Schrödinger, LLC, New York, NY, 2025.

 


 

BioLuminate®

  • Sankar, K.; Trainor, K.; Blazer, L.; Adams, J.; Sidhu, S.; Day, T.; Meiering, E.; Maier, J., “A descriptor set for quantitative structure-property relationship prediction in biologics”, Mol Inform, 2022, 41(9), 2100240
  • Tavella, D.; Ouellette, D. R.; Garofalo, R.; Zhu, K.; Xu, J.; Oloo, E. O.; Negron, C.; Ihnat, P.M., “A novel method for in silico assessment of Methionine oxidation risk in monoclonal antibodies: Improvement over the 2-shell model”, PLoS One, 2022, 17(12)
  • Sankar, K.; Krystek, S. R. Jr; Carl, S. M.; Day, T.; Maier, J. K. X., “AggScore: prediction of aggregation-prone regions in proteins based on the distribution of surface patches”, Proteins, 2018, 86(11), 1147-1156
  • Zhu, K.; Day, T.; Warshaviak, D.; Murrett, C.; Friesner, R.; Pearlman, D., “Antibody structure determination using a combination of homology modeling, energy-based refinement, and loop prediction”, Proteins, 2014, 82(8), 1646-1655
  • Salam, N. K.; Adzhigirey, M.; Sherman, W.; Pearlman, D. A., “Structure-based approach to the prediction of disulfide bonds in proteins”, Protein Eng Des Sel, 2014, 27(10), 365-74
  • Beard, H.; Cholleti, A.; Pearlman, D.; Sherman, W.; Loving, K. A., “Applying physics-based scoring to calculate free energies of binding for single amino acid mutations in protein-protein complexes”, PLoS ONE, 2013, 8(12), e82849

Schrödinger Release 2026-2: BioLuminate, Schrödinger, LLC, New York, NY, 2025.

 


 

Canvas

  • Duan, J.; Dixon, S. L.; Lowrie, J. F.; Sherman, W., “Analysis and comparison of 2D fingerprints: Insights into database screening performance using eight fingerprint methods”, J. Molec. Graph. Model., 2010, 29, 157-170
  • Sastry, M.; Lowrie, J. F.; Dixon, S. L.; Sherman, W., “Large-scale systematic analysis of 2D fingerprint methods and parameters to improve virtual screening enrichments”, J. Chem. Inf. Model., 2010, 50, 771–784

Schrödinger Release 2026-2: Canvas, Schrödinger, LLC, New York, NY, 2025.

 


 

ConfGen

Schrödinger Release 2026-2: ConfGen, Schrödinger, LLC, New York, NY, 2025.

 


 

Core Hopping

Schrödinger Release 2026-2: Core Hopping, Schrödinger, LLC, New York, NY, 2025.

 


 

CovDock

  • Zhu, K.; Borrelli, K. W.; Greenwood, J. R.; Day, T.; Abel, R.; Farid, R. S.; Harder, E., “Docking covalent inhibitors: A parameter free approach to pose prediction and scoring”, J. Chem. Inf. Model., 2014, 54, 1932−1940

Schrödinger Release 2026-2: CovDock, Schrödinger, LLC, New York, NY, 2025.
 


 

DeepAutoQSAR

  • Kaplan, Z.; Ehrlich, S.; Leswing, K., “Benchmark study of DeepAutoQSAR, ChemProp, and DeepPurpose on the ADMET subset of the Therapeutic Data Commons”, Full Article
  • Gion, K.; Gattani, S.; Kaplan, Z., “DeepAutoQSAR hardware benchmark”, Full Article

Schrödinger Release 2026-2: DeepAutoQSAR, Schrödinger, LLC, New York, NY, 2025.
 


 

Desmond

Schrödinger Release 2026-2: Desmond Molecular Dynamics System, D. E. Shaw Research, New York, NY, 2024. Maestro-Desmond Interoperability Tools, Schrödinger, New York, NY, 2025.

 


 

Epik

  • ​​Johnston, R. C.; Yao, K.; Kaplan, Z.; Chelliah, M.; Leswing, K.; Seekins, S.; Watts, S.; Calkins, D.; Chief Elk, J.; Jerome, S. V.; Repasky, M. P;. Shelley, J. C., “Epik: pKa and protonation state prediction through machine learning”, J. Chem. Theory Comput. 2023, 19, 2380–2388

Schrödinger Release 2026-2: Epik, Schrödinger, LLC, New York, NY, 2025.

Please note that the pKa and tautomeric databases provided with Epik are copyrighted material, and should not be extracted, reproduced, or used outside of the context of Epik or LigPrep licensed calculations.

 


 

FEP+

  • Ross, G. A., Lu, C., Scarabelli, G.; Albanese, S. K.; Houang, E.; Abel, R.; Harder, E. D.; Wang, L., “The maximal and current accuracy of rigorous protein-ligand binding free energy calculations”, Commun. Chem., 2023, 6(222)
  • Chen, W.; Cui, D.; Jerome, S.; Michino, M.; Lenselink, E.; Huggins, D.; Beautrait, A.; Vendome, A.; Abel, R.; Friesner, R. A.; Wang, L., “Enhancing hit discovery in virtual screening through absolute protein–ligand binding free-energy calculations”, J. Chem. Inf. Model., 2023, 63(10), 3171–3185
  • Abel, R.; Wang, L.; Harder, E. D.; Berne, B. J.; Friesner, R. A., “Advancing drug discovery through enhanced free energy calculations”, Acc. Chem. Res., 2017, 50(7), 1625-1632
  • Kuhn, B.; Tichý, M.; Wang, L.; Robinson, S.; Martin, R. E.; Kuglstatter, A.; Benz, J.; Giroud, M., Schirmeister, T.; Abel, R.; Diederich, F.; Hert, J., “Prospective evaluation of free energy calculations for the prioritization of Cathepsin L Inhibitors”, J. Med. Chem., 2017, 60(6), 2485-2497
  • Yu, H. S.; Deng, Y.; Wu, Y.; Sindhikara, D.; Rask, A. R.; Kimura, T.; Abel, R.; Wang, L., “Accurate and reliable prediction of the binding affinities of macrocycles to their protein targets”, J. Chem Theory Comput., 2017, 13(12), 6290-6300
  • Wang, L.; Deng, Y.; Wu, Y.; Kim, B.; LeBard, D. N.; Wandschneider, D.; Beachy, M.; Friesner, R. A.; Abel, R., “Accurate modeling of scaffold hopping transformations in drug discovery”, J. Chem Theory Comput., 2017, 13(1), 42-54
  • Harder, E.; Damm, W.; Maple, J.; Wu, C.; Reboul, M.; Xiang, J. Y.; Wang, L.; Lupyan, D.; Dahlgren, M. K.; Knight, J. L.; Kaus, J. W.; Cerutti, D. S.; Krilov, G.; Jorgensen, W. L.; Abel, R.; Friesner, R. A., “OPLS3: A force field providing broad coverage of drug-like small molecules and proteins”, J. Chem. Theory Comput., 2016, 12(1), 281–296
  • Wang, L.; Wu, Y.; Deng, D.; Kim, B.; Pierce, L.; Krilov, G.; Lupyan, D.; Robinson, S.; Dahlgren, M. K.; Greenwood, J.; Romero, D. L.; Masse, C.; Knight, J. L.; Steinbrecher, T.; Beuming, T.; Damm, W.; Harder, E.; Sherman, W.; Brewer, M.; Wester, R.; Murcko, M.; Frye, L.; Farid, R.; Lin, T.; Mobley, D. L.; Jorgensen, W. L.; Berne, B. J.; Friesner, R. A.; Abel, R. , “Accurate and reliable prediction of relative ligand binding potency in prospective drug discovery by way of a modern free-energy calculation protocol and force field”, J. Am. Chem. Soc., 2015, 137(7), 2695–2703

Schrödinger Release 2026-2: FEP+, Schrödinger, LLC, New York, NY, 2025.

 


 

Force Fields

  • Lu, C.; Wu, C.; Ghoreishi, D.; Chen, W.; Wang, L.; Damm, W.; Ross, G. A.; Dahlgren, M. K.; Russell, E.; Von Bargen, C. D.; Abel, R.; Friesner, R. A.; Harder, E. D., “OPLS4: Improving force field accuracy on challenging regimes of chemical space”, J. Chem. Theory Comput., 2021, 17(7), 4291–4300
  • Roos, K.; Wu, C.; Damm, W.; Reboul, M.; Stevenson, J. M.; Lu, C.; Dahlgren, M. K.; Mondal, S.; Chen, W.; Wang, L.; Abel, R.; Friesner, R. A.; Harder E. D., “OPLS3e: Extending force field coverage for drug-like small molecules”, J. Chem. Theory Comput., 2015, 15(3), 1863–1874
  • Harder, E.; Damm, W.; Maple, J.; Wu, C.; Reboul, M.; Xiang, J. Y.; Wang, L.; Lupyan, D.; Dahlgren, M. K.; Knight, J. L.; Kaus, J. W.; Cerutti, D. S.; Krilov, G.; Jorgensen, W. L.; Abel, R.; Friesner, R. A., “OPLS3: A force field providing broad coverage of drug-like small molecules and proteins”, J. Chem. Theory Comput., 2016, 12(1), 281–296
  • Shivakumar, D.; Williams, J.; Wu, Y.; Damm, W.; Shelley, J.; Sherman, W., “Prediction of absolute solvation free energies using molecular dynamics free energy perturbation and the OPLS force field”, J. Chem. Theory Comput., 2010, 6, 1509–1519
  • Jorgensen, W. L.; Maxwell, D. S.; Tirado-Rives, J., “Development and testing of the OPLS all-atom force field on conformational energetics and properties of organic liquids”, J. Am. Chem. Soc., 1996, 118 (45), 11225-11236
  • Jorgensen, W. L.; Tirado-Rives, J., “The OPLS [optimized potentials for liquid simulations] potential functions for proteins, energy minimizations for crystals of cyclic peptides and crambin”, J. Am. Chem. Soc., 1988, 110(6), 1657-1666

Schrödinger Release 2026-2: Force Fields, Schrödinger, LLC, New York, NY, 2025.
 


 

Formulation ML

  • Chew, A.K.; Afzal, M.A.F.; Kaplan, Z.; Collins, E. M.; Gattani, S.; Misra, M.; Chandrasekaran, A.; Leswing, K.; Halls, M.D., “Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures”, npj Comput Mater, 2025, 11(72)

Schrödinger Release 2026-2: Formulation ML, Schrödinger, LLC, New York, NY, 2025.
 


 

Glide

  • Yang, Y; Yao, K; Repasky, M. P.; Leswing, K; Abel, R; Shoichet, B. K.; Jerome, S. V., “Efficient exploration of chemical space with docking and deep learning”, J. Chem. Theory Comput. 2021, 17(11), 7106–7119
  • Friesner, R. A.; Murphy, R. B.; Repasky, M. P.; Frye, L. L.; Greenwood, J. R.; Halgren, T. A.; Sanschagrin, P. C.; Mainz, D. T., “Extra precision Glide: Docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes”, J. Med. Chem., 2006, 49, 6177–6196
  • Halgren, T. A.; Murphy, R. B.; Friesner, R. A.; Beard, H. S.; Frye, L. L.; Pollard, W. T.; Banks, J. L., “Glide: A new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening”, J. Med. Chem., 2004, 47, 1750–1759
  • Friesner, R. A.; Banks, J. L.; Murphy, R. B.; Halgren, T. A.; Klicic, J. J.; Mainz, D. T.; Repasky, M. P.; Knoll, E. H.; Shaw, D. E.; Shelley, M.; Perry, J. K.; Francis, P.; Shenkin, P. S., “Glide: A new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy”, J. Med. Chem., 2004, 47, 1739–1749

Schrödinger Release 2026-2: Glide, Schrödinger, LLC, New York, NY, 2025.

 


 

GlideEM

  • Robertson, M. J.; van Zundert, G. C. P.; Borrelli, K.; Skiniotis, G., “GemSpot: A Pipeline for Robust Modeling of Ligands into CryoEM Maps”, Structure., 2020, 28(6), 707-716

Schrödinger Release 2026-2: GlideEM, Schrödinger, LLC, New York, NY, 2025.

 


 

IFD-MD

  • Miller, E. B.; Murphy, R. B.; Sindhikara, D.; Borrelli, K. W.; Grisewood, M. J.; Ranalli, F., Dixon; S. L., Jerome; S., Boyles, N. A.; Day, T.; Ghanakota, P.; Mondal, S.; Rafi, S. B.; Troast, D. M.; Abel, R.; Friesner, R. A., “Reliable and accurate solution to the induced fit docking problem for protein–ligand binding”, J. Chem. Theory Comput. 2021, 17(4), 2630–2639
  • Xu, T., Zhu, K.; Beautrait, A.; Vendome, J.; Borrelli, K. W.; Abel, R.; Friesner, R. A.; Miller, E. B., “Induced-fit docking enables accurate free energy perturbation calculations in homology models”, J. Chem. Theory Comput. 2022, 18(9), 5710–5724
  • Coskun, D.; Lihan, M.; Rodrigues, J. P. G. L. M.; Vass, M.; Robinson, D.; Friesner, R. A.; Miller, E. B., “Using AlphaFold and experimental structures for the prediction of the structure and binding affinities of GPCR complexes via induced fit docking and free energy perturbation”, J. Chem. Theory Comput. 2023

Schrödinger Release 2026-2: IFD-MD, Schrödinger, LLC, New York, NY, 2025.
 


 

Induced Fit (IFD)

Schrödinger Release 2026-2: Induced Fit Docking protocol; Glide, Schrödinger, LLC, New York, NY, 2024; Prime, Schrödinger, LLC, New York, NY, 2025.

 


 

Jaguar

  • Balduf, T.; Gerken, P.A.; Shelley, M.Y.;Watson, M. A.; Bennett, M. C.; Svensson, M.; Leffler, A.E.; Bochevarov, A., “Prediction of Atropisomerism for Drug-like Molecules”, J. Chem. Inf. Model. 2026, 66(3), 1675–1687
  • Cao, Y.; Balduf, T.; Beachy, M. D.; Bennett, M. C.; Bochevarov, A. D.; Chien, A; Dub, P. A.; Dyall, K. G.; Furness, J. W.; Halls, M. D.; Hughes, T. F.; Jacobson, L. D.; Kwak, H. S.; Levine, D. S.; Mainz, D. T.; Moore, K. B.; Svensson, M; Videla, P. E.; Watson, M. A.; Friesner R. A., “Quantum chemical package Jaguar: A survey of recent developments and unique features”, J. Chem. Phys. 2024, 161(5), 052502
  • Bochevarov, A. D.; Harder, E.; Hughes, T. F.; Greenwood, J. R.; Braden, D. A.; Philipp, D. M.; Rinaldo, D.; Halls, M. D.; Zhang, J.; Friesner, R. A., “Jaguar: A high-performance quantum chemistry software program with strengths in life and materials sciences”, Int. J. Quantum Chem., 2013, 113(18), 2110-2142

Schrödinger Release 2026-2: Jaguar, Schrödinger, LLC, New York, NY, 2025.

 


 

Jaguar pKa

  • Bochevarov, A. D.; Watson, M. A.; Greenwood, J. R.; Philipp, D. M., “Multiconformation, density functional theory-based pKa prediction in application to large, flexible organic molecules with diverse functional groups”, J. Chem. Theory Comput., 2016, 12(12), 6001–6019
  • Yu, H. S.; Watson, M. A.; Bochevarov, A. D., “A weighted averaging scheme and a local atomic descriptor for pKa prediction based on density functional theory”, J. Chem. Inf. Mod., 2018, 58, 271–286
  • Klicić, J. J.; Friesner, R. A.; Liu, S.-Y.; Guida, W. C., “Accurate prediction of acidity constants in aqueous solution via density functional theory and self-consistent reaction field methods”, J. Phys. Chem. A, 2002, 106, 1327–1335

Schrödinger Release 2026-2: Jaguar pKa, Schrödinger, LLC, New York, NY, 2025.

 


 

KNIME Extensions

Schrödinger Release 2026-2: KNIME extensions, Schrödinger, LLC, New York, NY, 2025.

 


 

LigPrep

Schrödinger Release 2026-2: LigPrep, Schrödinger, LLC, New York, NY, 2025.
 


 

LiveDesign

Schrödinger Release 2026-2: LiveDesign, Schrödinger, LLC, New York, NY, 2025.

 


 

MacroModel

  • Mohamadi, F.; Richard, N. G.; Guida, W. C.; Liskamp, R.; Lipton, M.; Caufield, C.; Chang, G.; Hendrickson, T.; Still, W. C., “MacroModel – an integrated software system for modeling organic and bioorganic molecules using molecular mechanics”, J. Comput. Chem. 1990, 11, 440–467
  • Watts, K. S.;  Dalal, P.; Tebben, A. J.; Cheney, D. L.; Shelley, J. C. “Macrocycle conformational sampling with MacroModel”, J. Chem. Inf. Model. 2014, 54(10), 2680–2696

Schrödinger Release 2026-2: MacroModel, Schrödinger, LLC, New York, NY, 2025.
 


 

Macro-pKa

  • Cao, Y.; Balduf, T.; Beachy, M. D.; Bennett, M. D.; Bochevarov, A. D.; Chien, A.; Dub, P. A.; Dyall, K. G.; Furness, J. W.; Halls, M. D.; Hughes, T. F.; Jacobson, L. D.; Kwak, H. S.; Levine, D. S.; Mainz, D. T.; Moore, K. B.; Svensson, M.; Videla, P. E.; Watson, M. A.; Friesner, R. A., “Quantum chemical package Jaguar: A survey of recent developments and unique features”, J Chem Phys. 2024, 161(5), 052502
  • Johnston, R. C.; Yao, K.; Kaplan, Z.; Chelliah, M.; Lewsing, K.; Seekins, S.; Watts, S.; Calkins, D.; Elk, J. C.; Jerome, S. V.; Repasky, M. P.; Shelley, J. C., “Epik: pKa and Protonation State Prediction through Machine Learning”. J. Chem. Theory Comput. 2023, 19(8), 2380–2388
  • Tang, H.; Jensen, K.; Houang, E.; McRobb, F. M.; Bhat, S.; Svensson, M.; Bochevarov, A.; Day, T.; Dahlgren, M. K.; Bell, J. A.; Frye, L.; Skene, R. J.; Lewis, J. H.; Osborne, J. D.; Tierney, J. P.; Gordon, J. A.; Palomero, M. A.; Gallati, C.; Chapman, R. S. L.; Jones, D. R.; Hirst, K. L.; Sephton, M.; Chauhan, A.; Sharpe, A.; Tardia, P.; Dechaux, E. A.; Taylor, A. ; Waddell, R. D.; Valentine, A.; Janssens, H. B.; Aziz, O.; Bloomfield, D. E.; Ladha, S.; Fraser, I. J.; Ellard, J. M., “Discovery of a Novel Class of d-Amino Acid Oxidase Inhibitors Using the Schrödinger Computational Platform”, J. Med. Chem. 2022, 65(9), 6775–6802

Schrödinger Release 2026-2: Macro-pKa, Schrödinger, LLC, New York, NY, 2025.
 


 

Maestro

Schrödinger Release 2026-2: Maestro, Schrödinger, LLC, New York, NY, 2025.

 


 

Materials Science Suite

Schrödinger Release 2026-2: Materials Science Suite, Schrödinger, LLC, New York, NY, 2025.
 


 

Materials Coarse-Grain

  • Coscia, B. J.; Shelley, J. C.; Browning, A. R.; Sanders, J. M.; Chaudret, R.; Rozot, R.; Léonforte, F.; Halls, M. D.; Luengo, G. S. “Shearing friction behaviour of synthetic polymers compared to a functionalized polysaccharide on biomimetic surfaces: models for the prediction of performance of eco-designed formulations”, Phys. Chem. Chem. Phys2023, 25, 1768-1780
  • Afzal, M. A. F.; Lehmkemper, K.; Sobich, E.; Hughes, T. F.; Giesen, D. J.; Zhang, T.; Krauter, C. M.; Winget, P.; Degenhardt, M.; Kyeremateng, S. O.; Browning, A. R.; Shelley, J. C. “Molecular-level examination of amorphous solid dispersion dissolution”, Mol. Pharmaceutics, 2021, 18, 11, 3999–4014 

Schrödinger Release 2026-2: Materials Coarse-Grain, Schrödinger, LLC, New York, NY, 2025.
 


 

Materials Penetrant Loading

  • Sanders, J. M.; Misra, M.; Mustard, T. J. L.; Giesen, D. J.; Zhang, T.; Shelley, J.; Halls, M. D.  “Characterizing moisture uptake and plasticization effects of water on amorphous amylose starch models using molecular dynamics methods”, Carbohydrate Polymers, 2021, 252, 117161

Schrödinger Release 2026-2: Materials Science Penetrant Loading, Schrödinger, LLC, New York, NY, 2025.
 


 

Phase

  • Dixon, S. L.; Smondyrev, A. M.; Knoll, E. H.; Rao, S. N.; Shaw, D. E.; Friesner, R. A., “PHASE: A new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening. 1. Methodology and preliminary results”, J. Comput. Aided Mol. Des., 2006, 20, 647-671
  • Dixon, S. L.; Smondyrev, A. M.; Rao, S. N., “PHASE: A novel approach to pharmacophore modeling and 3D database searching”, Chem. Biol. Drug Des., 2006, 67, 370-372

Schrödinger Release 2026-2: Phase, Schrödinger, LLC, New York, NY, 2025.

 


 

Phenix/OPLS

  • van Zundert, G. C. P.; Moriarty, N. W.; Sobolev, O. V.; Adams, P. D.; Borrelli, K. W., “Macromolecular refinement of X-ray and cryoelectron microscopy structures with Phenix/OPLS3e for improved structure and ligand quality”, Structure., 2021, 29(8), 913-921

Schrödinger Release 2026-2: Phenix/OPLS, Schrödinger, LLC, New York, NY, 2025.

 


 

PIPER

  • Chuang, G-Y.; Kozakov, D.; Brenke, R.; Comeau, S. R.; Vajda, S., “DARS (Decoys As the Reference State) potentials for protein-protein docking”, Biophys. J., 2008, 95, 4217-4227
  • Kozakov, D.; Brenke, R.; Comeau, S. R.; Vajda, S., “PIPER: An FFT-based protein docking program with pairwise potentials”, Proteins, 2006, 65, 392-406
  1. https://rosettadesigngroup.com/blog/535/capri-state-of-protein-protein-docking/
  2. https://www.ebi.ac.uk/msd-srv/capri/

 Schrödinger Release 2026-2: PIPER, Schrödinger, LLC, New York, NY, 2025.

 


 

Prime

Schrödinger Release 2026-2: Prime, Schrödinger, LLC, New York, NY, 2025.

 


 

PrimeX

Schrödinger Release 2026-2: PrimeX, Schrödinger, LLC, New York, NY, 2025.

 


 

Protein Preparation Workflow

Schrödinger Release 2026-2: Protein Preparation Workflow; Epik,  Schrödinger, LLC, New York, NY, 2024; Impact, Schrödinger, LLC, New York, NY; Prime, Schrödinger, LLC, New York, NY, 2025.
 


 

PyMOL

For instructions on citing PyMOL, please visit www.pymol.org/citing.

 


 

QikProp

Schrödinger Release 2026-2: QikProp, Schrödinger, LLC, New York, NY, 2025.

 


 

QSite

  • Murphy, R. B.; Philipp, D. M.; Friesner, R. A., “A mixed quantum mechanics/molecular mechanics (QM/MM) method for large-scale modeling of chemistry in protein environments”, J. Comp. Chem., 2000, 21, 1442-1457
  • Philipp, D. M.; Friesner, R. A., “Mixed ab initio QM/MM modeling using frozen orbitals and tests with alanine dipeptide and tetrapeptide”, J. Comp. Chem., 1999, 20, 1468-1494

Schrödinger Release 2026-2: QSite, Schrödinger, LLC, New York, NY, 2025.

 


 

Semiempirical NDDO

Schrödinger Release 2026-2: Semiempirical NDDO protocol; Jaguar, Schrödinger, LLC, New York, NY, 2024; MOPAC, Schrödinger, LLC, New York, NY, 2025.

 


 

Shape Screening

  • Sastry, G. M.; Dixon, S. L.; Sherman, W., “Rapid shape-based ligand alignment and virtual screening method based on atom/feature-pair similarities and volume overlap scoring”, J. Chem. Inf. Model., 2011, 51, 2455-2466

Schrödinger Release 2026-2: Phase, Schrödinger, LLC, New York, NY, 2025.

 


 

SiteMap

Schrödinger Release 2026-2: SiteMap, Schrödinger, LLC, New York, NY, 2025.

 


 

WaterMap

Schrödinger Release 2026-2: WaterMap, Schrödinger, LLC, New York, NY, 2025.

 


 

WScore

  • Murphy, R. B.; Repasky, M. P.; Greenwood, J. R.; Tubert-Brohman, I.; Steven Jerome, S.; Annabhimoju, R.; Boyles, N. A.; Schmitz, C. D.; Abel, R.; Farid, R.; and Friesner, R. A., “WScore: A flexible and accurate treatment of explicit water molecules in ligand–receptor docking” Med. Chem. 2016, 59(9), 4364–4384

Schrödinger Release 2026-2: WScore, Schrödinger, LLC, New York, NY, 2025.