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

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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

Release 2022-2

Library Background

Release Notes

Release 2022-2

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Significantly improved speed-up of Entry Inclusion/Exclusion performance (~5x faster) [2022-2]
  • Improved graphics performance by employing depth peeling on GPUs [2022-2]
    • GPU-accelerated transparent rendering (beta)
    • Ribbon/Cartoon transparency (beta)
  • New Preset view facilitating “Binding Pose Comparison” [2022-2]
  • Improved support for renumbering Nucleic Acid residues [2022-2]
  • Additional flexibility for viewing antibody annotations in the Structure Hierarchy [2022-2]
  • Simple deduplication by entry title with new select “First Entry per Title” feature including extensive group support [2022-2]
  • Support importing compressed SMILES (*.csvgz) [2022-2]
  • New higher contrast for 2D Overlay colors for improved visualization [2022-2]

Force Field

  • Added support for perchlorate ions to OPLS4 [2022-2]

Workflows & Pipelining [KNIME Extensions]

  • Includes the latest version of KNIME (v4.5.1) [2022-2]
  • New input from LiveDesign node capability makes it easier to create KNIME models taking input columns from LiveDesign and store testing scenarios [2022-2]
  • Models based on the LiveDesign Column input protocol can now take 3D column(s) as input [2022-2]
  • The Import from LiveDesign node now preserves LiveReport column order [2022-2]
  • Capability to move models in bulk between folders for streamlined administration [2022-2]

Target Validation & Structure Enablement

Protein Preparation

  • Simultaneously optimize ligand and protein tautomer/pka – cmdline only [2022-2]

Multiple Sequence Viewer/Editor

  • Ability to export residues and descriptors to comma-separated text file [2022-2]
  • Capability to “Zoom to Selected” and “Reset View” added to Dendrograms [2022-2]
  • New option added to turn automatic project saving on or off [2022-2]

IFD-MD

  • Improved IFD-MD GUI design [2022-2]
  • New IFD-MD support for covalent docking and membrane proteins, expanding the domain of applicability to broader targets and ligands [2022-2]

Hit Identification & Virtual Screening

Pharmacophore Modeling

  • Capability to undisplay pharmacophore feature labels in Maestro workspace [2022-2]

Ligand Docking

  • SMILES ligand representation is now added to CSV output from Glide [2022-2]
  • Ability to specify either fraction of ligands or number of ligands to retain and rescore in Active Learning Glide [2022-2]

Lead Optimization

Ligand Alignment

  • Improved alignment method when alignment constraints for maximum common substructure (MCS) are requested [2022-2]

FEP+

  • New ability for ligands in solvent leg of relative binding FEP to sample more states with new Dihedral Scaling in Advanced Options [2022-2]
  • Improved performance modeling Nucleic Acids by adding NaCl salt at specified concentration in Advanced Options [2022-2]
  • New `jws` command-line interface to interface with GraphDB jobs [2022-2]

Solubility FEP

  • Analyze results of solubility FEP simulations using the full-featured Perturbation Report Panel [2022-2]

Quantum Mechanics

  • Added analytic or pseudospectral RI-MP2 energies, gradients, and second derivatives [2022-2]
  • PCM implicit solvent method is now compatible with the Jaguar keywords nofail, nops_opt_switch, check_min [2022-2]
  • Ability to optionally optimize geometries with qRNN in the VCD/ECD workflow [2022-2]
  • Improved SCF convergence for long range-corrected (LRC) functionals [2022-2]
  • Capability to view IR/Raman spectra in Spectrum Plot as transmission or absorption [2022-2]

Semi-Empirical Quantum Mechanics

  • The NDDO and MOPAC2016 panels have been replaced by new open source MOPAC panel [2022-2]

Medicinal Chemistry

Ligand Designer

  • Improved fine control of ligand growth in Growth Space selection [2022-2]

Biologics Drug Discovery

  • New Antibody Structure Prediction Interface with improved antibody detection, alignment, and framework search protocols. The interface accommodates non-traditional antibody formats such as bispecifics and provides an intuitive workflow with capability for batch modeling [2022-2]
  • New interface for computing protein-specific descriptors consisting of 160 core sequence, structural and surface features, intended for use in liability prediction for biologics [2022-2]
  • Ability to export structures from the Protein Interaction Analysis panel into Residue Scanning with a single mouse click [2022-2]
  • Added capability to import csv file with multiple antibody sequences for batch antibody modeling [2022-2]

Materials Science

GUI for Quantum ESPRESSO

  • Quantum ESPRESSO: User control over convergence parameters for phonon calculations [2022-2]
  • Quantum ESPRESSO: Option to load energy cutoffs from pseudopotentials [2022-2]
  • Quantum ESPRESSO: Spin polarization, k-point mesh, and Hubbard U settings reported to Project Table [2022-2]

Molecular Dynamics

Transport Calculations via MD simulations

  • Diffusion: Calculation of Onsager coefficient (command line) [2022-2]
  • Diffusion: Diffusion trace stored from GUI (maximum of 10) [2022-2]
  • Diffusion: User control over number of stored traces (command line) [2022-2]
  • Viscosity: Plot of Einstein-Helfand viscosity in the viewer [2022-2]

KMC Charge Mobility

  • KMC Charge Mobility: Visualization of occupancy overlay in site energy plot [2022-2]

Materials Informatics

  • Molecular Descriptors: Calculation of buried volume over all ligands [2022-2]

Coarse-Grained (CG) Molecular Dynamics

  • Apply Coarse-Grained Force Field: beta-cyclodextrin as built-in Martini force field [2022-2]
  • Import Coarse-Grained Structures: Support for beta-cyclodextrin [2022-2]
  • Coarse-Grained Force Field Builder: Results Viewer [2022-2]
  • Coarse-Grained Force Field Builder: Estimation of CG site volumes [2022-2]
  • Coarse-Grained Force Field Builder: Group overlap specified per SMARTS [2022-2]
  • Coarse-Grained Force Field Builder: Option to define beads by multiple SMARTS patterns [2022-2]
  • Coarse-Grained Force Field Builder: User specification of particle volumes [2022-2]
  • Coarse-Grained Force Field Builder: Separate control over fitting for bonds and angles [2022-2]
  • Coarse-Grained Force Field Builder: Speed-up in building FF (up to 5x) [2022-2]
  • Coarse-Grained Force Field Builder: User control of job hosts and license management [2022-2]
  • Coarse-Grained Force Field Builder: Users control of particle volume [2022-2]

Optoelectronics

  • Optoelectronics Active Learning: Optimization with inverse target property [2022-2]
  • Optoelectronics Active Learning: Properties plotted per iteration [2022-2]
  • Optoelectronics Active Learning: S1 energy, S1-T1 energy gap as targets [2022-2]

Penetrant Loading Simulation

  • Penetrant Loading: User control of job hosts and license management [2022-2]

Morphology Predictions

  • Morphology: User control of job hosts and license management [2022-2]

MS Maestro Builders and Tools

  • Crystal Builder: Support for P 2c 2n space group [2022-2]
  • Digitize Curves: Option to not average over points with the same x-axis values [2022-2]
  • Disordered System Builder: Immersed option for substrates with periodic structures with two infinitely stretching axes [2022-2]
  • Elemental enumeration: Option to transmute to multiple elements [2022-2]
  • Polymer Builder: Support for ladder polymers [2022-2]
  • Structured Liquid Builder: Support for adding an entry as both counterion and solvent [2022-2]
  • Structured Liquid Builder: Option to show partial densities [2022-2]

Classical Mechanics

  • Cluster Analysis: Support for parallel execution of analysis [2022-2]
  • Cluster Analysis: Exclusion of single-molecule clusters from analysis [2022-2]
  • Cluster Analysis: Support for average Rg and eccentricity [2022-2]
  • Define Group by SMARTS: Better mapping of atoms to groups for polymers [2022-2]
  • Elastic Constants: User control of job hosts and license management [2022-2]
  • MD Multistage Workflow: Stage for Martini CGMD [2022-2]
  • MD Multistage Workflow: Enabled Average Cell steps after flexible angle barostat simulations [2022-2]
  • Molecular Deposition: User control of job hosts and license management [2022-2]
  • Polymer Crosslink: User control of job hosts and license management [2022-2]
  • Prepare for MD: Quick solvation for a system (command line) [2022-2]
  • Prepare for MD:  Significant speed-up for model preparations with systems containing 1000+ molecules [2022-2]
  • Prepare for MD: Option to repartition hydrogen mass to enable simulations with longer time steps [2022-2]
  • Stress Strain: Reduced usage of disk space [2022-2]
  • Stress Strain: Constant lateral pressure mode for residual strain [2022-2]
  • Stress Strain: Support for conditional bond breaking (command line) [2022-2]
  • Stress Strain: Option to apply cyclic stress strain analysis [2022-2]
  • Torsional Profile Analysis: Speed-up for systems without stereochemistry [2022-2]
  • Tg: Option to choose between isotropic and anisotropic barostats [2022-2]
  • Multiple panels: Support for save and reuse of ASL patterns [2022-2]

Quantum Mechanics

  • Adsorption Energy: Support for restart [2022-2]
  • Adsorption Energy: Option to preview and modify geometries manually [2022-2]
  • Beta elimination: Option to suppress intermediates [2022-2]
  • Bond Dissociation Energy: Support for SMARTS bond selection from workspace [2022-2]
  • Reaction Workflow: Option to skip eta rotomer generation [2022-2]
  • Reaction Workflow: Option to use custom rate constant equations [2022-2]
  • Reaction Workflow: Remove duplicate conformations prior to computing Boltzmann averaged properties [2022-2]

LiveDesign

What’s new in LiveDesign 2022-2

  • R-groups returned from decompositions can be used in filters and plots to facilitate SAR analysis
    • Apply coloring rules to R-groups in the LiveReport and within plots
    • Create filters to show only a subset of R-groups
    • Change the shape of data points in a plot according to its R-group
  • Visualize more data in plots simultaneously
    • Plot tens of thousands of data points at the same time
    • Apply jitter to data points to more easily distinguish overlapping points
  • Enable Single Sign On to more easily control access and permissions
    • IdP administrator can now map IdP group attributes to LiveDesign roles for LiveDesign users
    • Optionally use a user-specific IdP attribute to augment group mappings giving specific users extra LiveDesign roles
  • Define proxy values for MPO input columns that are missing data, to more easily compare compounds with different missing values
  • Automatically create coloring rules for columns that contain strings
  • Usability Improvements
    • Tooltips within the Data & Columns tree have been redesigned to show more information
    • A warning message appears for Project Admins when a template is about to be overwritten that they did not author

What’s been fixed

  • Toggling stereo annotations on compound images had no effect and always showed the annotations. Now toggling the stereo annotations works.
  • Attempting to recalculate an un-run, click-to-run, model showed a flashing square in the cell that would not disappear until the model was run.  Now the “Run” button will appear in the cell when attempting to recalculate an un-run, click-to-run, cell
  • Enhanced stereo labels did not appear in compound images for PPT, PDF, and Excel file exports, and now the enhanced stereo labels appear on the images
  • Newly created models did not inherit the command type of the protocol, and now inherit the command type
  • Enumerated products from reaction enumeration would not appear in the enumeration preview when those products had many atoms, and now they do appear
  • Deleted or cleared Freeform column values would remain visible in plots, and now the data point gets removed
  • Saving R-groups from a R-group decomposition into a LiveReport would show extraneous columns, and now only shows the R-groups
  • Freeform column edits would occasionally fail for published Freeform columns, and now do not fail
  • Setting the aggregation mode to “Latest” on an Experimental Assay column would incorrectly show a qualifier on the value, and now shows the correct qualifier
  • Editing a formula would append characters to a column name, and now treats the characters as separate from the column name
  • Dose-response curves with a large number of values would fail to appear in a LiveReport, and now appear
  • Creating a limited assay column with conditions that did not match any experimental data points would prevent future edits to the conditions from matching data points, and now edits will correctly match data points
  • Vertical and horizontal overlays on plots did not extend across the full plot, and now extend the entire height and width of the plot
  • Duplicating a subset of a LiveReport that included a MPO would show an error message if the input columns were not also selected, and now duplicating a subset of a LiveReport does not require selecting input columns to a MPO
  • Exporting a LiveReport to CSV format would fail when LiveReports contained Ligand Designer columns, and now exports succeed
  • Coloring rules could not be applied to columns with a Date datatype, and now can have coloring rules applied

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 2022-1

Library Background

Release Notes

Release 2022-1

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • Apple M1 Support [2022-1]
  • New 2D Sketcher (beta) [2022-1]
  • New Workflow Action Menus [2022-1]
    • Antibody Modeling
  • Homology Modeling [2022-1]

Force Field

  • Improved accuracy of histidine parameters, particularly in FEP+ prediction of histidine pka’s [2022-1]
  • Improved geometries for B-N bond containing compounds [2022-1]
  • Up to 10x faster execution of FFBuilder when parameterizing hundreds of ligands through greater job distribution [2022-1]

Workflows & Pipelining [KNIME Extensions]

  • New 2D Sketcher node [2022-1]
  • Run from LiveDesign [2022-1]:
    • Export to LiveDesign node can export all the structures so model results can be stored in new LiveReport(s)
    • Model output columns can contain files (eg with pdf)
    • Store an executed workflow in a LiveReport column

Target Validation & Structure Enablement

Protein Preparation

  • Sped-up hydrogen atom assignment to be o(n) by system size [2022-1]

Protein X-Ray Refinement

  • PHENIX/OPLS supports PHENIX 1.20 [2022-1]

Multiple Sequence Viewer/Editor

  • Automatically save MSV projects [2022-1]
  • Rapid selection of a subset of sequences based on user-defined percent identity or similarity relative to a reference sequence [2022-1]
  • Improved ability to save one or more sequences by ‘right clicking’ to export [2022-1]

Protein Homology Modeling

  • Selectively download only the PDB BLAST subset of the NR BLAST database for local homology modeling [2022-1]
  • New Workflow Action Menu prompts for homology modeling enables single click access to structure quality assessment, reliability reports, additional loop refinement, and sidechain refinement and localized minimization [2022-1]

Hit Identification & Virtual Screening

Pharmacophore Modeling

  • New align_multi_cores.py script to align 3D ligands to a reference ligand with multiple disconnected cores [2022-1]

Ligand Docking

  • Return SMARTS of the core used when running core constraint docking with MCS [2022-1]
  • Input file that generated a Glide grid is saved in the grid archive to improve ease of making changes [2022-1]

Lead Optimization

FEP+

  • FEP+ Correlation Plot [2022-1]:
    • Display best fit line and equation of the line
    • Modified reporting to show confidence intervals instead of standard deviations
  • Web services [2022-1]:
    • Improved performance when viewing map status

Solubility FEP (Beta)

  • Access to trajectory, representative structures, FEP classifiers in the analysis tab [2022-1]
  • Web Services will return fmp/fmpdb files instead of mae/csv for analysis [2022-1]

AutoQSAR

  • DeepChemAutoQSAR now supports Windows and Mac platforms [2022-1]

FPsim-GPU

  • New vendor column in similarity results [2022-1]

Medicinal Chemistry

Ligand Designer

  • Ability to specify a max number of enumerated compounds [2022-1]
  • Added access to “Vendor ID” details in the Project Table for purchasable compounds [2022-1]

 

Biologics Drug Discovery

  • Antibody structure prediction backend now supports distributed processing facilitating large-scale, high-throughput workflows [2022-1]

Materials Science

GUI for Quantum ESPRESSO

  • Atomic constraints propagated to phonon calculations [2022-1]
  • Computing phonons for a subset of atoms [2022-1]
  • IDPP (image dependent pair potential) algorithm for NEB [2022-1]
  • Support for SCA and R2SCAN functionals [2022-1]

Materials Informatics

  •  Molecular Descriptors: Speed-up of fingerprint calculations by parallelization [2022-1]
  •  Molecular Descriptors: Organometallic descriptors for compounds with no metals [2022-1]

Coarse-Grained (CG) Molecular Dynamics

  •  CG Forcefield Builder: GUI for automated force field building [2022-1]

Optoelectronics

  •  Active Learning Optoelectronics: Plot for learning curves [2022-1]
  •  Optoelectronics Genetic Algorithm: Option to use AutoQSAR and DeepChem models [2022-1]

Dielectric Properties

  • Amorphous Dielectric Properties: Option to export data from the viewer [2022-1]

MS Maestro Builder and Tools

  •  Crystal Builder: Option to select symmetry equivalent atoms [2022-1]
  •  Manipulate Cell: Option to translate to first unit cell for 2 out of 3 axes [2022-1]
  •  Manipulate Cell: Option to unwrap surface model within the periodic cell [2022-1]
  • Structured Liquid Builder: Workflow action menu (WAM) [2022-1]

Classical Mechanics

  • Cluster Analysis: Average cluster size and number of clusters in viewer [2022-1]
  • Cluster Analysis: Option to visualize individual clusters [2022-1]
  • Crystal Morphology: Estimation of the number of water molecules to solvate a slab (command-line) [2022-1]
  • Membrane Analysis: Prediction of bilayer surface roughness [2022-1]
  • Molecular Deposition: Default force constant at 500 kcal/mol/A [2022-1]
  • Polymer Crosslinking: Speed-up (2x) by optimized simulation workflow [2022-1]
  • Remove Molecules: Support for coarse-grained systems [2022-1]
  • Stress Strain: User control of job hosts and license management [2022-1]
  • Surface Tension: Workflow module to compute surface tension for a single-component system [2022-1]
  • Thermochemical Properties: User control of job hosts and license management [2022-1]
  • Thermochemical Properties: Option to choose energy recording interval [2022-1]
  • Torsional Analysis: Option to plot relative torsion to initial state [2022-1]
  • Torsional Analysis: Option to plot torsion distribution over time [2022-1]
  • Torsional Analysis: Faster loading with reduced memory consumption [2022-1]
  • Torsional Analysis: Support for coarse-grained structures [2022-1]
  • Trajectory Density Analysis: No length limit on input ASL [2022-1]
  • Trajectory Electrostatic Potential: Visualization module for radial charge profile and electrostatic potential in a trajectory [2022-1]

Quantum Mechanics

  • Adsorption Energy: Thermochemical properties stored in CSV files [2022-1]
  • Electron Coupling: Parallelization of QM calculations [2022-1]
  • Excited State Analysis: Option to cluster by minimum of hole / electron correlation [2022-1]
  • Excited State Analysis: Support for using multiple structures as input [2022-1]
  • Ligand Stability Analysis: Stability assessment tool for organometallic complexes enumerated with different ligands [2022-1]
  • Reaction Workflow: Buried volume data points stored as CSV file [2022-1]

Molecular Dynamics

Transport Calculations via MD simulations

  • Diffusion: Visualization of 3D trajectory trace of a diffusing molecule [2022-1]
  • Viscosity: Support for Einstein-Helfand viscosity [2022-1]
  • Viscosity: Option to add diffusion calculation [2022-1]

 

LiveDesign

What’s new in LiveDesign 2022-1

  • A new compound sketcher has been introduced, which was designed and developed by Schrodinger
  • Add a compound to the sketcher by searching for its ID to use it as a basis for future designs
  • Gadgets appear in a new location, along the left-hand panel, and can be grouped into categories to facilitate more rapid discovery of the appropriate gadget
  • Computational modeling results can be aligned across columns on a per-pose basis, in order to identify related predicted values
  • Tooltips can scroll to show long column descriptions when hovering over a column header

What’s been fixed

  • MPOs with Freeform column inputs were not editable when copied from one project to another, and now are editable
  • Unpublished clustering models showed duplicate values when a LiveReport was copied, and now show a single predicted value
  • 3D data uploaded from Maestro would not appear in the Data & Columns tree, if the LiveDesign instance was configured to group experimental assays by concentration, and now will always appear
  • Formula columns and Freeform columns could take several minutes to appear in a duplicated LiveReport, and now appear immediately
  • The “Publish” button in the column menu of unpublished models would disappear after clicking it, and now will continue to appear
  • Protocols that had a parameter set to optional could not have the parameter changed to mandatory, and now permit setting the parameter to mandatory
  • LiveReport tabs could not be dragged and rearranged, and now can be dragged and rearranged
  • Protocols that were made accessible in a project, and then made inaccessible to that project, would hide all models based on that protocol. The models now continue to appear in the Admin Panel
  • Parameterized models would not display the column name in the Admin Panel when a Freeform column was used as the input parameter, and now display the column name
  • Asynchronous tasks that took longer than the timeout period of eight days to complete were not canceled, and now are automatically canceled after eight days
  • Creating models with optional parameters has an improved user interface

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

QSite

QSite

A high-performance QM/MM program

QSite

Overview

QSite is a multi-scale simulation tool that utilizes the QM/MM method, which combines the principles of quantum mechanics and molecular mechanics. It is designed to accurately predict the molecular configurations, energetics, and the electronic structures of a reactive system through quantum chemical treatment of atoms, providing crucial insights into reactive chemistry essential for understanding chemical transformation in the presence of intermolecular interactions. QSite is equally applicable for describing non-reacting chemical systems.

Key Capabilities

Check mark icon
High performance

Outperforms other QM/MM programs because it takes advantage of Jaguar, long recognized as the industry leader in QM calculations.

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Advanced technology

Provides an innovative approach to the QM/MM interface specifically addressing protein systems and interactions between QM and MM regions.

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Transition metal convergence

Achieves a high degree of accuracy in metalloproteins thanks to Jaguar’s advanced capabilities; it reliably and efficiently converges to the correct ground state of transition metal containing systems.

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Wavefunction choices

Offers different levels of theory to evaluate the QM region: Hartree Fock, DFT, and local MP2. This allows the user to choose the best balance between computational cost and accuracy.

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Advanced calculation setup and analysis

Automatically applies special interface parameters, making it simple to set up calculations. Computed results, such as molecular orbitals and electron densities, can be visualized within Maestro.

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Life Science Tutorial

Defining QM and MM regions in QSite

Define regions to treat with QM and with MM for a QSite calculation.

Materials Science Tutorial

Kinetic Monte Carlo (KMC) Charge Mobility

Learn how to calculate charge mobility in semiconducting molecular devices.

Related Products

Learn more about the related computational technologies available to progress your research projects.

FEP+

High-performance free energy calculations for drug discovery

Jaguar

Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties

Maestro

Complete modeling environment for your molecular discovery

MS Mobility

Atomistic simulation and analysis of charge mobility in solid-state films of organic semiconductors

MS Maestro

Complete modeling environment for your materials discovery

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Materials Science

Sub-micro- and nano-sized polyethylene terephthalate deconstruction with engineered protein nanopores

Life Science

Light Harvesting by Equally Contributing Mechanisms in a Photosynthetic Antenna Protein

Life Science

Mechanistic and Computational Studies of the Reductive Half-Reaction of Tyrosine to Phenylalanine Active Site Variants of d-Arginine Dehydrogenase

Life Science

Dioxygen Activation in Methane Monooxygenase: A Theoretical Study

Life Science

How Iron-containing Proteins Control Dioxygen Chemistry: A Detailed Atomic Level Description via Accurate Quantum Chemical and Mixed Quantum Mechanics/Molecular Mechanics Calculations

Life Science

Peripheral Heme Substituents Control the Hydrogen-Atom Abstraction Chemistry in Cytochromes P450

Life Science

Reversible Dioxygen Binding to Hemerythrin

Life Science

Hydroxylation of Methane by Non-Heme Diiron Enzymes: Molecular Orbital Analysis of the C-H Bond Activation by Reactive Intermediate Q

Life Science

A Mixed Quantum Mechanics/Molecular Mechanics (QM/MM) Method for Large-scale Modeling of Chemistry in Protein Environments

Life Science

Mixed ab initio QM/MM Modeling Using Frozen Orbitals and Tests with Alanine Dipeptide and Tetrapeptide

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.

OPLS4

OPLS4

A modern, comprehensive force field for accurate molecular simulations

OPLS4

Improve the quality of your computational predictions with OPLS4

Force fields are used in molecular simulations to describe the interactions between atoms in a system. Having an accurate force field is at the heart of obtaining useful molecular structures and predicting relative energies, and yet many in silico programs employ force fields that are years, if not decades, old, and suffer from lack of sufficient coverage for many common molecular motifs.

OPLS4 is a highly accurate, modern force field with comprehensive coverage of chemical space for both drug discovery and materials science applications. It builds upon the extensive coverage and accuracy achieved in previous OPLS versions by improving the accuracy of functional groups that have presented significant modeling challenges in the past, such as charged groups and sulfur-containing moieties.

Key Benefits

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Continuous scientific development by leading force field experts
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Backed by state of the art quantum engine (Jaguar) and extensive experimental validation
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Broad coverage of chemical space for small molecules, biologics and materials science applications
Check mark icon
Easily extendible into novel project-specific chemistry with Force Field Builder

Applications of OPLS4 for Materials Science

Generate accurate parameters for advanced molecular materials

OPLS4 significantly improved structural stabilization during long MD simulations due to improved parameters for molecular materials composed of small-molecule and macromolecule constituents.

Perform accurate property predictions

OPLS4 produces accurate predictions of solvation free energies, density, glass transition, radius of gyration, cohesive energy, and other properties with Desmond, leading to more accurate rank ordering among compounds.

Model challenging interactions accurately

OPLS4 accurately models challenging organicinteractions including heterocycles, halogen bonds, sulfur-oxygen interactions and salt-bridge formation enabling reliable predictions of small molecules, organics, polymers, OLEDs, silicates, and more. 

Improve conformational analyses

OPLS4 provides a more accurate description of torsional energies and leads to improved conformational analyses and more accurate molecular flexibility.

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Life Science Tutorial

Exploring Protein Binding Sites with Mixed-Solvent Molecular Dynamics

Identify and characterize binding sites with mixed solvent molecular dynamics.

Materials Science Documentation

Materials Science Panel Explorer

Quickly learn which Schrödinger tools are the best fit for your research.

Related Products

Learn more about the related computational technologies available to progress your research projects.

FEP+

High-performance free energy calculations for drug discovery

IFD-MD

Accurate ligand binding mode prediction for novel chemical matter, for on-targets and off-targets

Desmond

High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy

Force Field Builder

Efficient tool for optimizing custom torsion parameters in OPLS4

MS Transport

Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules

MS CG

Efficient coarse-grained (CG) molecular dynamics (MD) simulations for large systems over long time scales

MS Penetrant Loading

Molecular dynamics (MD) modeling for predicting water loading and small molecule gas adsorption capacity of a condensed system

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Materials Science

Gaining molecular insights towards inhibition of foodborne fungi Aspergillus fumigatus by a food colourant violacein via computational approach

Materials Science

Predicting Drug-Polymer Compatibility in Amorphous Solid Dispersions by MD Simulation: On the Trap of Solvation Free Energie

Materials Science

Modelling of Prednisolone Drug Encapsulation in Poly Lactic-co-Glycolic Acid Polymer Carrier Using Molecular Dynamics Simulations

Materials Science

Cu-TiO2/Zeolite/PMMA Tablets for Efficient Dye Removal: A Study of Photocatalytic Water Purification

Materials Science

Elucidation of the sweetening mechanism of sweet orange fruit aroma compounds on sucrose solution using sensory evaluation, electronic tongue, molecular docking, and molecular dynamics simulation

Materials Science

Conformers influence on UV-absorbance of avobenzone

Materials Science

Optimization of fluorinated phenyl azides as universal photocrosslinkers for semiconducting polymers

Materials Science

Ciprofloxacin and Azithromycin Antibiotics Interactions with Bilayer Ionic Surfactants: A Molecular Dynamics Study

Materials Science

Modeling the structural and reactivity properties of capsaicin [(E)-N-[(4-hydroxy-3-methoxyphenyl)methyl]-8-methylnon-6-enamide] wavefunction-dependent properties, pharmacokinetics, in-silico analysis, and molecular dynamics simulation

Materials Science

Self-Assembled Tamoxifen-Selective Fluorescent Nanomaterials Driven by Molecular Structural Similarity

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.

MacroModel

MacroModel

Versatile, full-featured molecular modeling program

MacroModel

Overview

MacroModel is a force field-based molecular modeling tool with a range of advanced features and methods for examining molecular conformations, molecular motion, and intermolecular interactions. This flexible program can be utilized for diverse research applications, including organic and inorganic molecules and oligomers, organometallic complexes, and complex biological systems.

Key Capabilities

Trusted energetics

Obtain reliable estimation of energetics using a combination of high-quality force fields and GB/SA implicit solvation model

Industry-leading conformation search

Benefit from a wide range of conformational searching methods, capable of handling systems ranging from small molecules to entire proteins with the ability to apply constraints and focus the calculation on a small region to enhance speed

Flexible constraints

Apply constraints to focus the calculation on a small region to enhance speed

Efficient serial calculations in one click

Automatically perform separate calculations on many different input molecules

Integrated to complement many other tools

Improve efficiency and accuracy of conformational investigation and minimization for molecular mechanics, molecular dynamics and quantum mechanics calculations

Diverse force fields selection options

Leverage a diversity of force fields, including MM2, MM3, AMBER, AMBER94, MMFF, MMFFs, OPLS, OPLS_2005, and OPLS4, to support a wide range of research applications

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Life Science Tutorial

Conformational Analysis for Small Molecules Using MacroModel and ConfGen

Investigate torsional profiles for related small molecules and how conformation affects intra- and intermolecular interactions.

Materials Science Tutorial

Bond and Ligand Dissociation Energy

Calculate the energy associated with the fragmentation of a parent molecule at various dissociation sites.

Materials Science Tutorial

Kinetic Monte Carlo (KMC) Charge Mobility

Learn how to calculate charge mobility in semiconducting molecular devices.

Related Products

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Desmond

High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy

FEP+

High-performance free energy calculations for drug discovery

Glide

Industry-leading ligand-receptor docking solution

LigPrep

Versatile ligand preparation tool for structure-based workflows

ConfGen

Accurate and efficient conformational search solution

Jaguar

Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties

OPLS4 & OPLS5 Force Field

A modern, comprehensive force field for accurate molecular simulations

BioLuminate

Comprehensive modeling platform for biologics discovery

MS Maestro

Complete modeling environment for your materials discovery

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Materials Science

Photooxygenation reactions under flow conditions: An experimental and in-silico study

Materials Science

Development of Glecaprevir: Conformations, Crystal Structures, and Efficient Solid–Solid Conversion for a Highly Polymorphic Macrocyclic Drug

Materials Science

Optimization of fluorinated phenyl azides as universal photocrosslinkers for semiconducting polymers

Materials Science

Advantages of Induced Circular Dichroism Spectroscopy for Qualitative and Quantitative Analysis of Solution-Phase Cyclodextrin Host–Guest Complexes

Materials Science

Reaction dynamics as the missing puzzle piece: the origin of selectivity in oxazaborolidinium ion-catalysed reactions

Materials Science

Molecular mechanisms involved in the chemical instability of ONC201 and methods to counter Its degradation in solution

Materials Science

Formation of a Disulfide Bridge on the Resin during Solid-Phase Synthesis of Terlipressin: Influence of the Boc-Protected and Free N-Terminal Amino Group

Materials Science

Benzene Tetraamide: A covalent supramolecular dual motif in dynamic covalent polymer networks

Materials Science

Computational prodrug design methodology for liposome formulability enhancement of small-molecule APIs

Materials Science

DELTA50: A Highly Accurate Database of Experimental 1H and 13C NMR Chemical Shifts Applied to DFT Benchmarking

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.

Force Field Builder

Force Field Builder

Efficient tool for optimizing custom torsion parameters in OPLS4

Force Field Builder

Overview

Force Field Builder is designed to provide force field parameters for torsions that are not explicitly represented in the force field. The set of molecules is analyzed to locate such torsions and then quantum mechanical calculations are performed to obtain parameters for the torsions. New parameters are seamlessly integrated into the OPLS4 parameters directory for easy use in subsequent simulations.

Key Capabilities

End checkpoint
Build and optimize custom torsion parameters in OPLS4 force field for previously undefined bond dihedrals
End checkpoint
Visualize force field torsion energy profile compared to quantum mechanical (QM) profile
End checkpoint
Easily ensure that the best model is used in the calculation by seamless integration with FEP+

Related Products

Learn more about the related computational technologies available to progress your research projects.

MS Maestro

Complete modeling environment for your materials discovery

Desmond

High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy

FEP+

High-performance free energy calculations for drug discovery

OPLS4 & OPLS5 Force Field

A modern, comprehensive force field for accurate molecular simulations

MS CG

Efficient coarse-grained (CG) molecular dynamics (MD) simulations for large systems over long time scales

MS Penetrant Loading

Molecular dynamics (MD) modeling for predicting water loading and small molecule gas adsorption capacity of a condensed system

MS Transport

Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Life Science

A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study

Life Science

Accurate physics-based prediction of binding affinities of RNA- and DNA-targeting ligands

Life Science

Lead optimization of small molecule ENL YEATS inhibitors to enable in vivo studies: Discovery of TDI-11055

Materials Science

Physics-based molecular modeling of biosurfactants

Materials Science

Development of Scalable and Generalizable Machine Learned Force Field for Polymers

Materials Science

High-Throughput Molecular Dynamics Simulations and Validation of Thermophysical Properties of Polymers for Various Applications

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.

Ligand Designer

Ligand Designer

Intuitive, interactive 3D ligand design for hit-to-lead and lead optimization

Ligand Designer

Overview

Ligand Designer provides powerful, yet easy to use 3D visualization and ligand building capability that is scientifically proven while making it fun to design ligand modifications in 2D or 3D and see how those changes are likely to impact protein-ligand complex structures. Cutting through the complexity of visualizing 3D information, the Ligand Designer uses concepts from Augmented Reality to enable you to layer relevant information including a novel grow space to quickly recognize where ligand modifications are most desirable.

Ligand Designer democratizes the 3D design process by putting the power of common medicinal chemistry tactics at your fingertips. The tool is available in Maestro and LiveDesign.

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Easily design and evaluate ideas with automated expert tools

Interactive design with fully-guided workflows

  • Automatically dock 2D and 3D designs
  • Perform bioisostere replacement and isostere scanning
  • Form protein-ligand interactions
  • Cyclize ligands
  • Recognize and displace unstable waters
  • Optimize for selectivity using multi-receptor mode

Benefits of Ligand Designer

Check mark icon
Guided design

Choose your own adventure with manual or guided design to evaluate ideas. Common medicinal chemistry workflows are included so you can test ideas automatically and avoid information overload.

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Design your way

Design in 2D and see the structures in the workspace; in 2½ D and see the representation of the binding pocket with key information; or design in 3D with full control.

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Automated expert tools

Easily assess the impact of ligand changes by visualizing the complex geometry while reducing the noise of un-needed information to find the next idea. Controls are pre-programmed to fit your function.

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Tailor chemistry to your project

Tailor it to your chemistry of interest by using synthetically tractable enumeration or R-group enumeration.

Check mark icon
Powerful built-in technology

Glide docking, automated ideation using R-group libraries or Pathfinder, Prime’s Macrocycle, BREED and WaterMap are all used in Ligand Designer.

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A map to stable waters

Rationalize SAR, drive potency and tune selectivity using WaterMap to compute the entropy and enthalpy of “hydration sites.”

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Life Science Tutorial

WaterMap-Guided Lead Optimization with the Ligand Designer

Displace an unstable water an optimize a hit molecule with the Ligand Designer.

Life Science Tutorial

A Chemist’s Guide to Maestro

Basic Maestro tasks useful for medicinal chemists during idea generation and lead optimization.

Life Science Tutorial

Drug Development with Macrocycles

Sampling, docking, and lead optimization of macrocycles.

Life Science Tutorial

Forming Protein-Ligand Interactions with the Ligand Designer

Form protein-ligand interactions and optimize a hit molecule with the Ligand Designer.

Related Products

Learn more about the related computational technologies available to progress your research projects.

Maestro

Complete modeling environment for your molecular discovery

LiveDesign

Your complete digital molecular design lab

Glide

Industry-leading ligand-receptor docking solution

WaterMap

State-of-the-art, structure-based method for assessing the energetics of water solvating ligand binding sites for ligand optimization

Phase

An easy-to-use pharmacophore modeling solution for ligand- and structure-based drug design

Prime

A powerful and innovative solution for accurate protein structure prediction

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Life Science

Large Scale Ab Initio Quantum Chemical Calculations on Biological Systems

Life Science

Exploring Clotrimazole-based Pharmacophore: 3D-QSAR Studies and Synthesis of Novel Antiplasmodial Agents

Life Science

Computational Tool for Fast In silico Evaluation of hERG K+ Channel Affinity

Life Science

Additional disulfide bonds in insulin: Prediction, recombinant expression, receptor binding affinity, and stability

Life Science

Boosting virtual screening enrichments with data fusion: Coalescing hits from two-dimensional fingerprints, shape, and docking

Life Science

Sequence Selectivity of Macrolide-Induced Translational Attenuation

Life Science

Improved docking of polypeptides with Glide

Life Science

Consensus Induced Fit Docking (cIFD): Methodology, validation, and application to the discovery of novel Crm1 inhibitors

Life Science

Structure based inhibitor design targeting glycogen phosphorylase B. Virtual screening, synthesis, biochemical and biological assessment of novel N-acyl-‘-d-glucopyranosylamines

Life Science

Structure tuning of pyrazolylpyrrole derivatives as ERK inhibitors utilizing dual tools; 3D-QSAR and side-chain hopping

Life Science

Design Potential Selective Inhibitors for Treating Cancer by Targeting the Src Homology 2 (SH2) Domain-Containing Phosphatase 2 (Shp2) with Core Hopping Approach

Life Science

Scaffold-based pan-agonist design for the PPAR’, PPAR’ and PPAR’ receptors

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.

Services & Collaborations

Services & Collaborations

Services and collaborations to advance materials science research

Services & Collaborations

Propel your materials science project with unrivaled technologies and expertise

Access Schrödinger’s latest technologies, run at scale

Leverage our team of computational experts to scope projects specific to the needs of your R&D projects

All licensing, computing, and service time included

Achieve success in applying computational workflows to your R&D

Prof. Hans De Winter - University of Antwerp
Research Services

Each materials design and development project is unique. Work closely with our materials science team to tackle your challenging problems by deploying digital chemistry strategies to guide rapid materials design and optimization.

We offer highly customized services for your materials R&D projects.

Research Collaborations
Research Collaborations

Strategic partnerships are longer-term engagements. As partners, we have shared goals and responsibilities. By working as one team with shared expertise, resources, and costs, we can mitigate risks, foster creative problem-solving, accelerate breakthrough discoveries, open doors to new products, and strengthen competitive advantage in the market, driving collective success.

The importance of human know-how in AI execution for R&D

How Schrödinger’s materials science domain experts ensure partner success

Read the article

Trusted by global leaders in industry

“Using Schrödinger’s digital molecular simulation platform, we’ve explored thousands of new materials in silico and used that exploration to select the most likely candidates to improve LMB cell performance and stability. This approach has led to a 10-fold improvement in our battery performance over the past two years.”
Jessica GoldenDirector of R&D, Sepion Technologies
“Schrödinger provides us with more than just software as part of our service agreement — they are a true partner in our research. Having access to Schrödinger’s advanced simulation tools and unprecedented computational power has changed the way we innovate at Panasonic Industry Co. Ltd., helping us make the electronic devices of tomorrow achievable today.”
Nobuyuki N. MatsuzawaGeneral Manager, Panasonic Industry Co., Ltd.
“By working closely with Schrödinger experts, we were impressed by how fast we were able to learn to apply molecular simulations, even with no prior modeling experience.”
Martin SettleSenior Research Manager, Polymer Science Sustainability & Packaging, Reckitt
“Schrödinger’s platform has enabled us to circumvent years of conventional materials discovery and not only achieve but exceed our ambitious battery roadmap milestones.”
Don DeRosaCo-founder, Eonix

Software and services built for your needs

Software Platform

Deploy digital materials discovery workflows with a comprehensive and user-friendly platform grounded in physics-based molecular modeling, machine learning, and team collaboration.

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.

Support & Training

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

Pharmaceutical formulations

Pharmaceutical formulations

Pharmaceutical formulations


Molecular and periodic quantum mechanics, all- atom molecular dynamics, and coarse-grained approaches for studying active pharmaceutical ingredients and their formulations

Details
Modules
6
Duration
6 weeks / ~25 hours to complete
Level
Introductory
Cost
$575 for non-student users
$150 for student / post-doc
Course Timeframe
When registering for the course, you will be able to choose your preferred start and end date. Within those dates, you will have asynchronous access to the course to work on your preferred schedule

Overview

Computational molecular modeling tools have proven effective in materials science research and development. Chemists, physicists and engineers working in materials science will increasingly encounter molecular modeling throughout their careers, making it critical to have a foundational understanding of the cutting edge tools and methods. These courses are ideal for those who wish to develop professionally and expand their CV by earning certification and a badge.

These computational chemistry courses offer an effective and efficient approach to learn practical computational chemistry for materials science:

  • Work hands-on with Schrödinger’s industry-leading Materials Science Maestro software
  • Jump start your research program by learning methods that can be directly applied to ongoing projects
  • Learn topics ranging from density functional theory (DFT) to molecular dynamics to machine learning for materials design
  • Perform a completely independent case study to demonstrate mastery of the course content
  • Benefit from review and feedback from Schrödinger Education Team experts for course assignments and course-related queries
  • Work on the course materials on your own schedule whenever convenient for you

This course comes with access to a web-based version of Schrödinger software with the necessary licenses and compute resources for the course:

Requirements
  • A computer with reliable high speed internet access (8 Mbps or better)
  • A mouse and/or external monitor (recommended but not required)
  • Working knowledge of general chemistry
Certification
  • A certificate signed by the Schrödinger course lead
  • A badge that can be posted to social media, such as LinkedIn
background pattern

What you will learn

MS Maestro interface

Learn how to use an industry-leading interface for materials science modeling. No coding or scripting required to run modeling workflows

Molecular and periodic quantum mechanics

Learn to apply molecular and periodic density functional theory (DFT) for automated property prediction for amorphous and crystalline active pharmaceutical ingredients

Molecular dynamics

Learn to leverage all-atom MD simulations for simulating properties of complete formulations including miscibility and hygroscopicity

Coarse-grained modeling

Access larger length scale and longer time scales by employing coarse-grained methods to study formulations

Modules

Module 1
2 Hours

Introduction to materials modeling

Video
Video

Introduction to Materials modeling & this online course

Video Tutorial
Video tutorial

Introduction to materials science (MS) Maestro

Video
Video

Modeling for pharmaceutical formulations

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Honor code agreement and checkpoint
Module 2
6 Hours + Compute Time

Molecular & periodic quantum mechanics

Video
Video

Introduction to quantum mechanics (mQM & pQM)

Tutorial
Tutorials
  • Quantum mechanical workflows and properties
  • API degradation
  • pKa predictions
  • Spectroscopy (molecular)
  • Building and Manipulating Crystals
  • Properties of Bulk Molecular Crystals
  • Spectroscopy (solid-state)
End checkpoint
End of module checkpoint
Module 3
5 Hours + Compute Time

All-atom molecular dynamics

Video
Video

Introduction to molecular dynamics (MD)

Tutorial
Tutorials
  • Disordered system building and MD multistage workflows
  • Molecular dynamics simulations for API (active pharmaceutical ingredient) miscibility
  • Glass transition temperature for APIs
  • Hygroscopicity
  • Crystal morphology
End checkpoint
End of module checkpoint
Module 4
5 Hours + Compute Time

Coarse-grained simulation

Video
Video

Introduction to coarse-graining (CG)

Tutorial
Tutorials
  • Ibuprofen cyclodextrin inclusion complexes with the martini coarse-grained force field
  • Ibuprofen copovidone drug excipient model with dissipative particle dynamics (DPD)
End checkpoint
End of module checkpoint
Module 5
2 Hours + Compute Time

Machine learning

Video
Video

Introduction to machine learning (ML)

Tutorial
Tutorials
  • Machine learning for materials science
  • Machine learning for formulations
End checkpoint
End of module checkpoint
Module 6
2 Hours + Compute Time

Guided case study

Tutorial
Case studies
  • Nanoemulsions with automated DPD parameterization
  • Building pH dependent systems of Diclofenac
End checkpoint
End of module checkpoint
Module 7
4 hours + Compute Time

Independent case study

Assignment
Assignment

API property prediction

Course completion
Course completion and certification
Self-paced video lessons on materials modeling

Self-paced video lessons on materials modeling

Videos on practical theory break down complex scientific concepts (e.g. Molecular Quantum Mechanics)

Videos on practical theory break down complex scientific concepts (e.g. Molecular Quantum Mechanics)

Access cloud-based computing resources to perform calculations yourself

Access cloud-based computing resources to perform calculations yourself

Hands-on step-by-step tutorials (e.g. Pharmaceutical Formulations course, pKa prediction)

Hands-on step-by-step tutorials (e.g. Pharmaceutical Formulations course, pKa prediction)

Hands-on modeling in the web-based graphical user interface (e.g. Polymeric Materials course, Diffusion tutorial)

Hands-on modeling in the web-based graphical user interface (e.g. Polymeric Materials course, Diffusion tutorial)

Videos on practical theory break down complex scientific concepts (e.g. Molecular Dynamics)

Videos on practical theory break down complex scientific concepts (e.g. Molecular Dynamics)

On-demand video lessons on materials modeling

On-demand video lessons on materials modeling

Access cloud-based computing resources to perform calculations yourself

Access cloud-based computing resources to perform calculations yourself

Perform case studies with expert feedback (e.g. Organic Electronic Course, Independent Case Study)

Perform case studies with expert feedback (e.g. Organic Electronic Course, Independent Case Study)

Video on practical theory break down complex scientific concepts (e.g. Machine Learning for Chemistry)

Video on practical theory break down complex scientific concepts (e.g. Machine Learning for Chemistry)

Videos on practical theory break down complex scientific concepts (e.g. Periodic Quantum Mechanics)

Videos on practical theory break down complex scientific concepts (e.g. Periodic Quantum Mechanics)

Videos on practical theory break down complex scientific concepts (e.g. Coarse-Graining)

Videos on practical theory break down complex scientific concepts (e.g. Coarse-Graining)

Self-paced video lessons on materials modeling
Videos on practical theory break down complex scientific concepts (e.g. Molecular Quantum Mechanics)
Access cloud-based computing resources to perform calculations yourself
Hands-on step-by-step tutorials (e.g. Pharmaceutical Formulations course, pKa prediction)
Hands-on modeling in the web-based graphical user interface (e.g. Polymeric Materials course, Diffusion tutorial)
Videos on practical theory break down complex scientific concepts (e.g. Molecular Dynamics)
On-demand video lessons on materials modeling
Access cloud-based computing resources to perform calculations yourself
Perform case studies with expert feedback (e.g. Organic Electronic Course, Independent Case Study)
Video on practical theory break down complex scientific concepts (e.g. Machine Learning for Chemistry)
Videos on practical theory break down complex scientific concepts (e.g. Periodic Quantum Mechanics)
Videos on practical theory break down complex scientific concepts (e.g. Coarse-Graining)

Need help obtaining funding for a Schrödinger Online Course?

We proudly support the next generation of scientists and are committed to providing opportunities to those with limited resources. Learn about your funding options for our online certification courses as a student, post-doc, or industry scientist and enroll today!

What our alumni say

“Clear instructions with a well-designed interface allowed me to run some of my own first molecular dynamics simulations. The information from the course felt much more secure than the information from YouTube because I knew it was developed by experts”
Graduate Student
“The course let me talk confidentially about molecular modeling and what it can do. For me, this was a nice experience which left me with many ideas for applying molecular modeling in the research area of our department, not only for me but also for my colleagues.”
Graduate Student
“As always, the course is very well designed. Formulation is quite outside my comfort zone in terms of theory and modeling but this course provided me with knowledge of evaluating what modeling can facilitate in the real world. Really great design and education process.”
Senior DirectorTherapeutic Protein Design
Materials Science course badge

Show off your newly acquired skills with a course badge and certificate

When you complete a course with us in molecular modeling and are ready to share what you learned with your colleagues and employers, you can share your certificate and badge on your LinkedIn profile.

Frequently asked questions

How much do the online courses cost?

Pricing varies by each course and by the participant type. For students wishing to take these courses, we offer a student price of $150 for introductory courses, $305 for the Materials Science bundle, and $870 for advanced courses. For commercial participants, the course price is $575 for introductory courses and $1435 for advanced courses and bundles.

When does the course start?

The courses run on sessions, which range from 3-6 week periods during which the course and access to software are available to participants. You can find the course session and start dates on each course page.

What time are the lectures?

Once the course session begins, all lectures are asynchronous and you can view the self-paced videos, tutorials, and assignments at your convenience.

How could I pay for this course?

Interested participants can pay for the course by completing their registration and using the credit card portal for an instant sign up. Please note that a credit card is required as we do not accept debit cards. Additionally, we can provide a purchase order upon request, please email online-learning@schrodinger.com if you are interested in this option. If you have any questions regarding how to pay for the course, please visit our funding options page.

How can I preview the course before registering?
Are there any scholarship opportunities available for students?

Schrödinger is committed to supporting students with limited resources. Schrödinger’s mission is to improve human health and quality of life by transforming the way therapeutics and materials are discovered. Schrödinger proudly supports the next generation of scientists. We have created a scholarship program that is open to full-time students or post-docs to students who can demonstrate financial need, and have a statement of support from the academic advisor. Please complete the application form if you qualify for our scholarship program!

Will material still be available after a course ends?

While access to the software will end when the course closes, some of the material within the course (slides, papers, and tutorials) are available for download so that you can refer back to it after the course. Other materials, such as videos, quizzes, and access to the software, will only be available for the duration of the course.

Do I need access to the software to be able to do the course? Do I have to purchase the software separately?

For the duration of the course, you will have access to a web-based version of Maestro, Bioluminate, Materials Science Maestro and/or LiveDesign (depending on the course). You do not have to separately purchase access to any software. While access to the software will end when the course closes, some of the material within the course (slides, papers, and tutorials) are available for download so that you can refer back to it after the course. Other materials, such as videos, quizzes, and access to the software, will only be available for the duration of the course. Please note that Schrödinger software is only to be used for course-related purposes.

Related Courses

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Homogeneous catalysis & reactivity

Molecular quantum mechanics and machine learning approaches for studying reactivity and mechanism at the molecular level

Molecular modeling for materials science applications: course bundle Materials Science Materials Science
Course bundle

Access all materials science courses with a single, discounted registration

Molecular modeling for materials science applications: Polymeric materials course Materials Science Materials Science
Polymeric materials

All-atom molecular dynamics and machine learning approaches for studying polymeric materials and their properties under various conditions

Supporting Associations

nanoHUB

Hit-to-Lead & Lead Optimization

Hit-to-Lead & Lead Optimization

Design better quality drug candidates, faster

Hit-to-Lead & Lead Optimization
Explore and triage vast chemical space with high precision in silico tools

Explore and triage vast chemical space with high precision in silico tools

Identifying the best drug candidate — a novel molecule that optimizes key physicochemical properties while maintaining on-target potency and specificity — is the ultimate challenge of lead optimization programs.

Schrödinger’s platform for molecular design empowers project teams to deploy a ‘predict-first’ approach to lead optimization challenges, dramatically expanding the pool of molecules that can be explored through highly interactive, fully in silico design cycles. Teams can confidently spend time and energy exploring new, unknown, and often more complex designs while sending only the top performing molecules for synthesis.

Diverse solutions for chemical enumeration, property prediction, and team collaboration

Create and explore project-relevant chemical space to fast-track ligand design

Purple Check
Create and tailor your own chemical space using reaction or R-group based enumeration and advanced filtering capabilities
Purple Check
Combine accurate physics-based simulations with the power of machine learning to efficiently explore vast chemical space
Purple Check
Profile billions of virtual target-specific molecules with an intelligent, reaction-based enumeration, filtering and accurate FEP+ scoring workflow

Drive ligand design by leveraging the thermodynamics of water interactions in active sites 

Purple Check
Discover new potency drivers by predicting the location and thermodynamic potential of hydration sites in the binding site
Purple Check
Visualize hydration sites for an easy and intuitive method of interpreting SAR

Design and collaborate in real-time with your colleagues — anytime, anywhere

Purple Check
Share, revise, and test design ideas with team members using a single cloud-native platform, LiveDesign
Purple Check
Capture decisions and hypotheses to improve collective SAR understanding and accelerate compound progression
Purple Check
Build rich dashboards to analyze whole project data or individual molecules and quickly identify promising design opportunities in key property space

Predict key properties to accelerate ligand optimization

Check green
Free energy-based computational assay (FEP+):

• Potency
• Selectivity
• Solubility

Check green
Other physics-based predictions:

• Membrane permeability
• hERG inhibition
• CYP inhibition / TDI
• CYP induction (DDI)
• Site of metabolism
• Brain exposure

Case Studies

Discover how Schrödinger technology is being used to solve real-world research challenges.

Hit to development candidate in 10 months: Rapid discovery of a novel, potent MALT1 inhibitor

Accelerating DMTA cycles with fast, push-button free energy calculations available to entire project teams

Morphic Therapeutic leverages digital chemistry strategy to design a novel small molecule inhibitor of α4β7 integrin

  • Life Science
  • Webinar

Design of a highly selective, allosteric, picomolar TYK2 inhibitor in clinical development

In this webinar, we highlight key moments from the discovery of this potentially best-in-class selective, allosteric, picomolar inhibitor of TYK2.

Watch webinar
  • Life Science
  • Webinar

Impacting drug discovery programs with large-scale de novo design

In this webinar, scientists from Schrödinger’s therapeutics group describe several recent case studies where de novo design technologies have allowed teams to overcome critical design challenges and accelerate programs.

Watch webinar

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Life Science Documentation

Documentation

Comprehensive reference documentation covering panels and workflows.

Life Science Quick Reference Sheet

Glide WS Model Generation

Life Science Tutorial

Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking

Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking.

Life Science Tutorial

Understanding and Visualizing Target Flexibility

Evaluate PDB temperature factors, align binding sites, and use MD to identify flexibility.

Life Science Tutorial

Approximating Protein Flexibility without Molecular Dynamics

Soften potentials in Glide and run induced-fit docking for side chain conformational changes and loop refinement.

Life Science Tutorial

BACE1 Inhibitor Design Using Free Energy Perturbation

Prepare, run, and analyze a free energy perturbation (FEP) simulation for a series of BACE1 inhibitors using FEP+.

Life Science Tutorial

Identifying Binding Site Requirements and Lead Optimization with WaterMap

Examine results from WaterMap and WM/MM scoring to identify unstable waters and evaluate ligand binding.

Life Science Tutorial

WaterMap-Guided Lead Optimization with the Ligand Designer

Displace an unstable water an optimize a hit molecule with the Ligand Designer.

Life Science Tutorial

Designing Out Common ADMET Liabilities using Consensus IFD-MD

Use Consensus IFD-MD to generate a model that can be used to improve selecitvity between an on-target protein and hERG.

Life Science Quick Reference Sheet

Absolute Binding Affinity FEP+

Key Products

Learn more about the key computational technologies available to progress your research projects.

Maestro

Complete modeling environment for your molecular discovery

FEP+

High-performance free energy calculations for drug discovery

Active Learning Applications

Accelerate discovery with machine learning

De Novo Design Workflow

Fully-integrated, cloud-based design system for ultra-large scale chemical space exploration and refinement

IFD-MD

Accurate ligand binding mode prediction for novel chemical matter, for on-targets and off-targets

WaterMap

State-of-the-art, structure-based method for assessing the energetics of water solvating ligand binding sites for ligand optimization

LiveDesign

Your complete digital molecular design lab

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Scaffold Hopping and Optimization of Small Molecule Soluble Adenyl Cyclase Inhibitors Led by Free Energy Perturbation

Sun, S. et al. J. Chem. Inf. Model. 2023, 63(9), 2828–2841

Discovery of a Novel Class of d-Amino Acid Oxidase Inhibitors Using the Schrödinger Computational Platform

Tang, H. et al. J. Med. Chem. 2022, 65(9), 6775–6802

AutoDesigner, a De Novo Design Algorithm for Rapidly Exploring Large Chemical Space for Lead Optimization: Application to the Design and Synthesis of d-Amino Acid Oxidase Inhibitors

Bos, P. H. et al. J. Chem. Inf. Model. 2022, 62(8), 1905–1915

Software and services to meet your organizational needs

Software Platform

Deploy digital materials discovery workflows with a comprehensive and user-friendly platform grounded in physics-based molecular modeling, machine learning, and team collaboration.

Research Services

Leverage Schrödinger’s expert computational scientists to assist at key stages in your materials discovery and development process.

Support & Training

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