Release 2025-2

Library Background

Release Notes

Release 2025-2

Small Molecule Drug Discovery

Platform Environment

Maestro Graphical Interface

  • New Welcome Screen on startup provides quick access to common tasks such as creating and opening projects and importing structures
  • Modernized and streamlined Project Table for enhanced usability
    • New Table Configuration pane allows fast switching between Light and Dark themes and toggles visibility of the ePlayer and Property Tree.
    • New Gadgets Menu provides convenient access to Charts and the 2D Viewer
  • New Workflow Action Menu (WAM) to view spectroscopy results from Jaguar and Jaguar Spectroscopy calculations in the Project Table

Target Validation & Structure Enablement

Protein Preparation

  • Improved minimization protocol to support broader coverage of biological and chemical systems
  • Produce more reliable prepared structures by expanded coverage of equivalent tautomeric ligand states
  • More easily view serious structural issues by filtering diagnostic reports with a severity threshold
  • New ‘Missing Atom’ tab on the Diagnostics panel enables select sidechain and loop modeling

Cryo-EM Model Refinement

  • GlideEM poses are now sorted by GlideScore which is more discriminating in ranking low RMSD structures than Denscore

Ligand Preparation

Ligand Docking

  • Faster Glide scoring and docking with optimized Glide (Beta): Screen larger libraries and find better candidates with optimized Glide, including enhanced Active Learning Glide and Python API support
    • Same industry-leading Glide docking funnel and scoring functions, Emodel and GlideScore
    • Faster turnaround with same compute resources for Active Learning Glide and AutoDesigner
    • Advanced Python API support offers easy automation and file control over docking process for greater experimentation
    • Accessible through the new Ligand Docking panel that enables setup of Active Learning and Glide calculations

ABFEP

  • Energy Decomposition data is now reported in Analysis PDF reports

Lead Optimization

FEP+

  • New FEP+ Pose Builder workflow for automatically generating high-quality ligand alignments (Beta): Generate FEP-ready poses faster and run FEP+ at scale with an automated workflow designed for unbiased selection and robust atom-mapping
  • Ability to read and write FEP+ Protocol files directly in the FEP+ Panel
  • Improved Classification matrix styling
  • Kendall’s tau statistic added to the statistical metrics reported
  • Improvements to exported FEP+ data in csv/xls formats
  • Added ‘None’ as a new Hot Atom Rule

Protein FEP

  • FEP+ Residue Scan supported in Protein FEP+ for Ligand Selectivity panel

Constant pH Simulations

  • Added support for Cysteine residues

FEP+ Protocol Builder

  • Sharply reduced compute resources to run default workflow by shrinking initial simulation times to 0.5 ns and extended times to 10 ns
  • Seamless interconnection as FEP+ Panel can now Read/Write Protocol Builder files
  • Bias the selection of protocols to extend including compute efficiency via Pareto analysis (command line only)
  • Added support for covalently bound ligands
  • Ability to optionally sample charge states of GLU, ASP, LYS, ARG, and CYS in protocol optimization

De Novo Design

AutoDesigner – R-group Design

  • New R-group Similarity score feature to focus ideation around compounds of interest
  • New Design Rationale capability to improve ADME endpoints with respect to reference ligands

Alternative Modalities

Bifunctional Degraders

  • Expanded support for protein degrader modeling with the new Degrader Sampling Workflow (Beta): Generate accurate degrader ternary complexes through integration of protein-protein docking and linker sampling in a structure-based workflow

Biologics Drug Discovery

  • Augmented AI/ML capabilities for biologics with machine learning-based T-Cell Receptor (TCR) structure prediction (Beta): Perform high throughput structure prediction and large scale modeling of TCRs with the ImmuneBuilder deep learning model and Prime
  • New Macromolecular Pose Filtering panel to filter native or near native poses from an ensemble of complexes using experimental data such as HDX-MS

Materials Science

GUI for Quantum ESPRESSO

Product: Quantum ESPRESSO (QE) Interface

  • A new environment variable for the location of Quantum ESPRESSO binary

Transport Calculations via MD simulations

Product: MS Transport

  • Thin Plane Shear: Selection of slab region by molecular units

KMC Charge Mobility

Product: MS Mobility

  • Compute KMC Charge Mobility: Predictions based on Schrödinger’s new mobility engine

Materials Informatics

Product: MS Informatics

  • Machine Learning Property: Updates to existing models
  • Machine Learning Property: Prediction of triplet reorganization energy
  • Machine Learning Property: Prediction of S1-to-T1 energy gap (∆EST)
  • Machine Learning Property: Predictions from the interactive mode automatically added to the Project Table
  • MLFF Calculations (Beta): Single-point energy and geometry optimization tool using Schrödinger’s latest machine-learned force fields

Formulation ML

Product: MS Formulation ML

  • Formulation ML: Support for custom ingredient descriptors
  • Formulation ML: Support for creating models using multiple CPUs in parallel
  • Formulation ML: Support for setting mixtures as individual components
  • Formulation ML Optimization: Workflow solution to optimize materials formulations

Layered Device ML

Product: MS Layered Device ML

  • OLED Device ML: Workflow solution to predict OLED device performance
  • Optoelectronic Device Designer: Use ML OLED device models to predict performance

Coarse-Grained (CG) Molecular Dynamics

Product: MS CG

  • Automated CG Mapping: (+AUTOMAPPING_MARTINI_PROTEIN) Support for proteins in automated mapping and parameterization for Martini
  • Automated CG Mapping: Accurate mapping for carbohydrate systems
  • Improved threshold for momentum errors in CGMD simulations
  • CG FF Builder: Parameters for water-water interactions fixed by default

Dielectric properties

Product: MS Dielectric

  • Complex Permittivity: Option to run replicates in parallel

Reactivity

Product: MS Reactivity

  • Reaction Network category created under the Materials task menu
  • Reaction Workflow renamed to Reaction Network Profiler
  • Auto Reaction Workflow renamed to Reaction Network Enumeration Profiler
  • Reaction Network Profiler: Option to run conformational search using CREST
  • Reaction Network Profiler: Conformational search included in restarts (command line)
  • Nanoreactor: Option to screen products by energy relative to reactant state
  • Nanoreactor: (+ELEMENTARY_REACTION_NETWORK) Support for the Elementary Reaction Network workflow

Microkinetics

Product: MS Microkinetics

  • Microkinetics Deposition Analysis: Workflow solution to run post-analysis of microkinetic simulations in deposition or etch processes of solid materials
  • Microkinetic Modeling: (+MATSCI_MKM_INTERACTIONS) Support for simple quadratic adsorbate-adsorbate interactions

Reactive Interface Simulator

Product: MS RIS

  • Solid Electrolyte Interphase: Option to block intramolecular reactions (command line)
  • Solid Electrolyte Interphase: Option to use DFT charges for new species

Crystal Structure Prediction

Product: Crystal Structure Prediction

  • Crystal Structure Prediction: Interface and workflow to predict crystal structures and polymorphs for a given molecular compound

MS Surface

Product: MS SurfChem

  • Adsorption Enumeration: Access to workflow assessing reactive adsorption
  • Desorption Enumeration: Workflow solution for assessing desorption of multiple molecules

MS Maestro User Interface

  • Direct link from the task menus to Materials Science Panel Explorer page

MS Maestro Builders and Tools

  • Structured Liquid: Automatic standardization of custom lipids
  • Polymer: Improved dihedral setups for multiple shortest-length backbones
  • Organometallic Conformational Search: Option to run conformational search using CREST

Classical Mechanics

  • Evaporation: Option to export the results as CSV file
  • MD Multistage: Center of mass motion removed for coarse-grained systems
  • Thermophysical Properties: Option to save trajectory energy file
  • Umbrella Sampling (Beta): Workflow solution for umbrella sampling of membranes

Quantum Mechanics

  • Adsorption Energy: Support for reactive adsorption and desorption energies
  • Adsorption Energy: Improved assessment of entropy loss during the adsorption
  • Bond and Ligand Dissociation: Option to set product charges from formal atomic charges
  • Bond and Ligand Dissociation: Support for PCM and SMD solvent models
  • Bond and Ligand Dissociation: Improved 2D visualization of charges and radicals in product fragments
  • Crest: UI for semiempirical QM based conformational search using CREST
  • Optoelectronic Film Properties: Support for multiple reorganization energies as input for computing intersystem crossing (ISC) rate
  • Optoelectronic Film Properties Viewer: Support for user-input reorganization energies to instantly re-evaluate SEET rate
  • Thermochemistry Viewer: Support for viewing reactive adsorption and desorption energies
  • Trajectory Density Analysis: Improved naming scheme for atom groups

Education Content

Life Science

  • New tutorial: Exploring Protein Binding Sites with Mixed-Solvent Molecular Dynamics
  • New tutorial: Introduction to T-Cell Receptor Modeling with BioLuminate
  • Updated tutorial: Antibody Visualization and Modeling in BioLuminate
  • Updated tutorial: Peptide Modeling with BioLuminate
  • Updated tutorial: Target Analysis with SiteMap and WaterMap
  • New QRS: Structure Reliability Report
  • New QRS: Custom Reactions for Covalent Docking
  • New QRS: Mixed-Solvent Molecular Dynamics
  • Updated QRS: GlideWS Model Generation
  • Updated QRS: MM-GBSA Residue Scanning

Materials Science

  • New Tutorial: Umbrella Sampling
  • New Tutorial: Crystal Structure Prediction
  • New Tutorial: Optimization of Formulations Using Machine Learning
  • New Tutorial: Machine Learning for OLED Device Design
  • New Tutorial: Nanoemulsions with Automated DPD Parameterization
  • New Tutorial: Applied Machine Learning for Formulations
  • Updated Tutorial: Atomic Layer Deposition
  • Updated Tutorial: Design of Asymmetric Catalysts with Reaction Network Enumeration Profiler (previously AutoRXNWF)
  • Updated Tutorial: Machine Learning Property Prediction
  • New QRS: CREST
  • New QRS: Microkinetics Deposition Analysis

LiveDesign

What’s Upcoming in 2025-2

  • Enhanced support for antibody-drug conjugates: Import ADCs from a source database and view the entire subcomponent hierarchy in the spreadsheet
  • Improved collaboration with freeform column comments: View a comment thread in the main spreadsheet and enable a structured, context-specific conversation with user attribution and timestamps
  • Ability to standardize workflows with form templates: Create a standardized data view or analysis, and add the Form to other LiveReports
  • New and updated protocols: The FEP+ Pose Builder Protocol has been updated and a new FEP+ Amenability Protocol returns additional pose quality metrics.

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

Advancing drug discovery programs with machine learning-enhanced de novo design

Webinar

Advancing drug discovery programs with machine learning-enhanced de novo design

CalendarDate & Time
  • May 21st, 2025
  • 8:00 AM PDT / 11:00 AM EDT / 4:00 PM BST / 5:00 PM CEST
LocationLocation
  • Virtual
Register

De novo molecular design creates entirely new chemical entities from scratch, accelerating drug discovery by generating billions of novel molecular structures. Subsequent computational profiling of these ideas harnesses physics-based calculations and machine learning algorithms to rigorously and rapidly predict experimental endpoints for this vast chemical space.

In this webinar, we will demonstrate how large-scale de novo design workflows in Schrödinger’s AutoDesigner, combined with rigorous free energy-based scoring methods, have been applied to several recent programs to overcome critical design challenges. We will outline the use of de novo design with AutoDesigner to accelerate an EGFR discovery project, enabling the exploration of 23 billion novel chemical structures and identifying four novel scaffolds with favorable potency and property profiles in just six days. We further highlight de novo core design strategies applied to WEE1 inhibitor development, in which an automated approach generated entirely new chemotypes achieving >10,000X selectivity over PLK1 while maintaining potent target inhibition.

Finally, we introduce AutoDesigner LinkerDesign, a workflow capable of de novo generation and evaluation of billions of potential linkers between molecular fragments, further expanding computational design capabilities. We conclude with an overview of how we track the impact of these tools using interactive dashboards in LiveDesign.

Webinar Highlights

  • How to design novel cores for hit identification and R-groups and linkers for hit-to-lead and lead optimization using AutoDesigner
  • Examples of dramatically improving potency and selectivity in several drug discovery programs
  • Requirements and best practices to apply the technology to your drug discovery programs
  • Methods for tracking key performance metrics using dashboards in LiveDesign

Our Speakers

Pieter Bos

Principal Scientist II, Schrödinger

Pieter Bos, Ph.D., is a principal scientist and product manager of AutoDesigner and De Novo Design workflows. At Schrödinger, his main focus is the research, development and optimization of automated compound design algorithms. Lead scientist for the design and execution of enumerated drug molecule libraries for internal and collaborative drug design projects. He received his Ph.D. in Synthetic Organic Chemistry from the University of Groningen in the laboratory of Prof. Ben Feringa. Prior to joining Schrödinger, he worked as a postdoctoral researcher in synthetic methodology development at Boston University (Prof. John Porco and Prof. Corey Stephenson) and small molecule drug discovery at Columbia University (Prof. Brent Stockwell).

Sathesh Bhat

Executive Director, Therapeutics Group, Schrödinger

Sathesh Bhat, Ph.D., executive director in the therapeutics group, joined Schrödinger in 2011. He is responsible for overseeing computational chemistry efforts on internal and partnered drug discovery programs at Schrödinger. Previously, Sathesh worked at both Merck and Eli Lilly leading computational efforts in several drug discovery programs. He obtained his Ph.D. from McGill University, which involved developing structure-based methods to predict binding free energies. Sathesh has co-authored multiple patents and publications and continues to publish on a wide variety of topics in computational chemistry.

Register

US User Group Meeting 2025

User Group Meeting

US User Group Meeting

CalendarDate & Time
  • September 15th-17th, 2025
LocationLocation
  • Newport, Rhode Island

Schrödinger is excited to host the US User Group Meeting at the Newport Harbor Island Resort in Newport, Rhode Island, from September 15-17, 2025.

This in-person event will bring together a dedicated group of Schrödinger users and team members from across the United States. The agenda will feature scientific presentations, hands-on workshops, panel discussions, and networking opportunities.

The full program will be shared soon.

Agenda Highlights

  • Engaging panel discussions
  • Opportunities for one-on-one meetings
  • Networking dinners and receptions
  • Presentations from leading industry experts and Schrödinger specialists
  • Interactive workshops highlighting the latest advancements in our molecular design platform

Meeting Details

Monday, September 15th
The event will begin with a happy hour reception at 6:00 PM.

Tuesday, September 16th
Sessions will run throughout the day. On the evening, all attendees are invited to a networking dinner.

Wednesday, September 17th
Sessions will run throughout the day. Departures will take place in the late afternoon.

Scientific Topics

  • Computationally-driven drug discovery case studies
  • Scaling predictive models for real-world impact
  • Designing safer molecules by predicting and preventing liabilities
  • Enabling challenging targets for structure-based design
  • Modeling of new and alternative modalities
  • Practical applications of AI/ML in discovery workflows
  • Schrödinger platform scientific roadmap

Venue

Newport Harbor Island Resort
1 Goat Island Road,
Newport, RI 02840, USA

Getting There

By Air

Rhode Island T.G. Green International Airport (PVD): Newport Harbor Island Hotel is a 33 minute drive from PVD airport. Regular flights are available via American Airlines, Breeze Airways, Delta, JetBlue, Southwest Airlines, Sun Country Airlines, and United.

By Train

Providence Station: Newport Harbor Island Hotel is a 45 minute drive from Providence Train Station, which is serviced by Amtrak and MBTA Commuter Rail.

By Car

Newport, RI is easily accessible by car. It is a 45 min drive from Downtown Providence or a 1 hour and 30 min drive from Boston, MA. Overnight Self-Parking is $35 per night and Overnight Valet Parking is $45 per night at the Newport Harbor Island Hotel.

FEP+ for Biologics

FEP+ for Biologics

High-performance free energy calculations for biologics discovery

FEP+ for Biologics

Engineer better proteins, faster with FEP+

FEP+ is Schrödinger’s proprietary, physics-based free energy perturbation technology. Use FEP+ in your biologics discovery projects to computationally predict protein mutation effects at an accuracy matching experimental methods to within ~1 kcal/mol.

Reduce time-to-results from months to weeks by discarding irrelevant mutations early, as well as quickly generating new ideas and follow-up designs

Lower protein optimization costs compared to traditional directed evolution wet lab protocols by running fewer cycles and assaying fewer variants

Identify better quality candidates through simultaneous optimization of multiple parameters to facilitate more rapid testing and triaging of ideas

Key application areas

Check mark icon
Affinity engineering

Enhance or decrease binding affinity of a protein to its target

Check mark icon
Selectivity engineering

Tune preferential binding of a protein to one target over another

Check mark icon
Cross-reactivity engineering

Extending breadth of binding across multiple targets

Check mark icon
pH-dependent binding

Engineer pH-dependent association or dissociation between two proteins

Check mark icon
Stability engineering

Enhance physical stability of a protein-based biologic

Check mark icon
Developability assessment

Optimize properties like solubility, chemical stability, and physical stability

In Silico Protein Engineering

Benefit from Schrödinger’s proven protein engineering technologies

Protein FEP+

Accurately quantify the effects of mutations on protein stability and protein-protein binding affinities during the optimization of antibodies, antigens, peptides, enzymes, and other biologic products.

FEP+ Residue Scan

Rapidly model single mutations on multiple sites simultaneously to achieve consistent and reliable prediction of mutational effects and dramatically improve the efficiency of FEP+ calculations.

Schrödinger’s customizable protein engineering workflow

Our workflow leverages FEP+ Residue Scan and Protein FEP+ technologies to enable precise and efficient exploration of protein mutations to simultaneously optimize stability, binding affinity, specificity, pH-dependent binding, and cross-reactivity.

FEP+ Residue Scan offers 7X improvements in accuracy over MM/GBSA and up to 20X speedup over Protein FEP+

Correlation plots between MM/GBSA, FEP+ Residue Scan and Protein FEP+ calculations (y-axis), and relative experimental affinity measurements (x-axis), shown in kcal/mol. All calculations performed on the same system, mutations to and from proline currently excluded from FEP+ Residue Scan results. Pearson correlation coefficient (R2) shown at top left of each plot.

Broad application across protein-based therapeutics discovery

Access refined workflows across multiple biological modalities

Antibody Design

Rationally design potent, safe, and developable monoclonal antibodies

Learn More
Peptide Discovery

Design peptidic drugs using in silico structure-based methods

Learn More
Enzyme Engineering

Efficiently optimize enzymes using structure-based design methods

Learn More

Publications

What is free energy perturbation (FEP)?

If you’re new to using FEP+, get a refresher on the fundamental concepts of relative binding free energy perturbation (FEP) calculations.

Documentation & Tutorials

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

Life Science Documentation

Learning Path: Virtual Screening

A structured overview of how to construct a virtual screening pipeline.

Life Science Tutorial

Protein pKa Prediction with Constant pH Molecular Dynamics

Determine pKa values and protonation states for protein residues.

Life Science Tutorial

Introduction to Protein Thermostability Prediction using Protein FEP+

Increase protein thermostability by filling a buried cavity through mutation with protein FEP+.

Life Science Tutorial

Identifying impactful mutations using FEP+ residue scanning

Perform an FEP+ residue scan for identifying the impact of mutations on the stability and affinity of a protein-protein system.

Life Science Tutorial

Obtaining Protein Free Energy Perturbation Thermostability Predictions for Single Point Mutations

Prepare, run and analyze a protein FEP simulation to obtain thermostability predictions for single point mutations in the T4 Lysozyme

Related Products

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

BioLuminate

Comprehensive modeling platform for biologics discovery

LiveDesign

Your complete digital molecular design lab

Prime

A powerful and innovative solution for accurate protein structure prediction

PIPER

A state-of-the-art protein-protein docking program

Desmond

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

OPLS4 & OPLS5 Force Field

A modern, comprehensive force field for accurate molecular simulations

Software and services to meet your organizational needs

Software Platform

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

Research Services

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

Support & Training

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

Educator’s Month: Integrating Computational Molecular Modeling into Science Curricula

Workshop

Educator’s Month: Integrating computational molecular modeling into science curricula

CalendarDate & Time
  • June 27th, 2025
LocationLocation
  • University of Strasbourg, France
Register

This in-person event will bring together chemistry and biology educators from Western Europe. The event will be hosted at the University of Strasbourg. This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling.

Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

There will also be free lunch and a networking hour with like-minded science educators from various Western Europe schools and universities.

Workshop Details

Who should attend:

  • Chemistry and biology professors or teaching faculty (undergraduate, graduate)
  • High school chemistry and biology teachers (college prep, honors, AP/IB level)
  • Chemistry and biology postdoctoral scholars who are interested in teaching

Registration:

Registration is free and includes lunch and refreshments.

Participants must bring their own laptop to access the software, and an external mouse is recommended.

Spots are limited, so please register early to secure your spot.

Registration will close on Friday, June 20th, 2025.

When & Where:

Friday, June 27th from 10:00 AM to 2:00 PM

University of Strasbourg

TBD

Please see the Agenda for more workshop details and our FAQs for information regarding what to bring, getting to the venue, and accessibility.

Event Highlights

– Demo and walkthrough of interdisciplinary lessons that incorporate web-based computational molecular modeling tools, such as (but not limited to) exploring the molecular structure of biomaterials, understanding protein structure in the context of drug discovery, or simulating chemical reactions in biological systems.

– Learn how to use computational tools to create virtual experiments for your students that could be used across subjects (e.g., modeling polymerization in materials science and organic chemistry).

  • – Group discussions on educational tools that educators have used in a teaching capacity.

What you will walk away with

  • An outline of a custom lesson plan where molecular visualization and simulation could be applied to a course you teach
  • Fundamental molecular modeling skills that can be applied to teaching students scientific concepts with real-world applications in drug discovery, materials design, and more
  • Pedagogical ideas to connect commonly taught scientific concepts to topics in human health through molecular visualization

If you have any questions, please reach out to the Schrödinger Education Team at teaching@schrodinger.com for assistance.

Agenda

Register

Frequently Asked Questions

Registration

How do I register for the event?

To register for the event, simply complete the registration form on the homepage. Once submitted, you will receive a confirmation email. Space is limited so we encourage early registration.

Is there a registration fee?

No, registration is completely free to attend the workshop. We will also be providing food and refreshments throughout the day.

Can I join the session virtually / remotely?

As we want to give the attendees help and guidance during the workshop we currently have no intention of running this workshop online. Please reach out if you are interested but are unable to travel to the event location.

Can I cancel my registration if I am unable to attend?

Yes. Please contact us directly at teaching@schrodinger.com.

Event information

When and where is the event taking place?

The “Integrating Computational Molecular Modeling into Science Curricula” Workshop will be held on June 27th, 2025 from 10:00 AM – 2:00 PM, at the University of Strasbourg – main campus. Exact classroom location details will be emailed directly to registered participants.
4 Rue Blaise Pascal, 67081 Strasbourg, France

What can I expect at the workshop?

This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling. Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

What do I need to bring?

  • A laptop is required for this workshop. We will not be providing any on the day, so please ensure that you bring one. We also recommend that you bring a personal laptop to avoid any firewall restrictions.
  • An external mouse is not required, but we do recommend that you bring one as our software makes full use of the 3 buttons.
  • We will be utilizing the Schrödinger Virtual Computer for a hands-on demo. A suitable web browser is required for accessing this (Chrome, Edge, Firefox).

Will lunch be provided during the event?

Yes, lunch will be provided during designated breaks throughout the workshop. Please specify any dietary restrictions or special accommodations needed during registration.

Is there parking available at the event venue?

Yes, parking facilities will be available. Specific parking garage details will be emailed to registered participants.

Educator’s Month: Integrating Computational Molecular Modeling into Science Curricula

Workshop

Educator’s Month: Integrating computational molecular modeling into science curricula

CalendarDate & Time
  • June 27th, 2025
LocationLocation
  • University of California, Los Angeles, California
Register

This in-person event will bring together chemistry and biology educators from the Los Angeles area. The event will be hosted at the University of California, Los Angeles (UCLA) – Department of Chemistry. This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling.

Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

There will also be free lunch and a networking hour with like-minded science educators from various Southern California-based schools and universities.

Workshop Details

Who should attend:

  • Chemistry and biology professors or teaching faculty (undergraduate, graduate)
  • High school chemistry and biology teachers (college prep, honors, AP/IB level)
  • Chemistry and biology postdoctoral scholars who are interested in teaching

Registration:

Registration is free and includes lunch and refreshments.

Participants must bring their own laptop to access the software, and an external mouse is recommended.

Spots are limited, so please register early to secure your spot.

Registration will close on Friday, June 13th, 2025.

When & Where:

Friday, June 20th from 10:00 AM to 2:00 PM

University of Los Angeles, California (UCLA) – Chemistry Department

607 Charles E Young Dr E, Los Angeles, CA 90024

Please see the Agenda for more workshop details and our FAQs for information regarding what to bring, getting to the venue, and accessibility.

Event Highlights

– Demo and walkthrough of interdisciplinary lessons that incorporate web-based computational molecular modeling tools, such as (but not limited to) exploring the molecular structure of biomaterials, understanding protein structure in the context of drug discovery, or simulating chemical reactions in biological systems.

– Learn how to use computational tools to create virtual experiments for your students that could be used across subjects (e.g., modeling polymerization in materials science and organic chemistry).

  • – Group discussions on educational tools that educators have used in a teaching capacity.

What you will walk away with

  • An outline of a custom lesson plan where molecular visualization and simulation could be applied to a course you teach
  • Fundamental molecular modeling skills that can be applied to teaching students scientific concepts with real-world applications in drug discovery, materials design, and more
  • Pedagogical ideas to connect commonly taught scientific concepts to topics in human health through molecular visualization

If you have any questions, please reach out to the Schrödinger Education Team at teaching@schrodinger.com for assistance.

Agenda

Register

Frequently Asked Questions

Registration

How do I register for the event?

To register for the event, simply complete the registration form on the homepage. Once submitted, you will receive a confirmation email. Space is limited so we encourage early registration.

Is there a registration fee?

No, registration is completely free to attend the workshop. We will also be providing food and refreshments throughout the day.

Can I join the session virtually / remotely?

As we want to give the attendees help and guidance during the workshop we currently have no intention of running this workshop online. Please reach out if you are interested but are unable to travel to the event location.

Can I cancel my registration if I am unable to attend?

Yes. Please contact us directly at teaching@schrodinger.com.

Event information

When and where is the event taking place?

The “Integrating Computational Molecular Modeling into Science Curricula” Workshop will be held on June 20th, 2025 from 10:00 AM – 2:00 PM, at the University of California, Los Angeles – Department of Chemistry. Exact classroom location details will be emailed directly to registered participants.
607 Charles E Young Dr E, Los Angeles, CA 90095

What can I expect at the workshop?

This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling. Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

What do I need to bring?

  • A laptop is required for this workshop. We will not be providing any on the day, so please ensure that you bring one. We also recommend that you bring a personal laptop to avoid any firewall restrictions.
  • An external mouse is not required, but we do recommend that you bring one as our software makes full use of the 3 buttons.
  • We will be utilizing the Schrödinger Virtual Computer for a hands-on demo. A suitable web browser is required for accessing this (Chrome, Edge, Firefox).

Will lunch be provided during the event?

Yes, lunch will be provided during designated breaks throughout the workshop. Please specify any dietary restrictions or special accommodations needed during registration.

Is there parking available at the event venue?

Yes, parking facilities will be available. Specific parking garage details will be emailed to registered participants.

Educator’s Month: Integrating Computational Molecular Modeling into Science Curricula

Workshop

Educator’s Month: Integrating computational molecular modeling into science curricula

CalendarDate & Time
  • June 18th, 2025
LocationLocation
  • University of Illinois, Chicago, Illinois
Register

This in-person event will bring together chemistry and biology educators from the Chicago area. The event will be hosted at the University of Illinois, Chicago Department of Chemistry. This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling.

Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

There will also be free lunch and a networking hour with like-minded science educators from various Chicago-based schools and universities.

Workshop Details

Who should attend:

  • Chemistry and biology professors or teaching faculty (undergraduate, graduate)
  • High school chemistry and biology teachers (college prep, honors, AP/IB level)
  • Chemistry and biology postdoctoral scholars who are interested in teaching

Registration:

Registration is free and includes lunch and refreshments.

Participants must bring their own laptop to access the software, and an external mouse is recommended.

Spots are limited, so please register early to secure your spot.

Registration will close on Wednesday, June 11th, 2025.

When & Where:

Wednesday, June 18th from 10:00 AM to 2:00 PM

University of Illinois, Chicago – Chemistry Department

845 W Taylor St, Chicago, IL 60607

Please see the Agenda for more workshop details and our FAQs for information regarding what to bring, getting to the venue, and accessibility.

Event Highlights

– Demo and walkthrough of interdisciplinary lessons that incorporate web-based computational molecular modeling tools, such as (but not limited to) exploring the molecular structure of biomaterials, understanding protein structure in the context of drug discovery, or simulating chemical reactions in biological systems.

– Learn how to use computational tools to create virtual experiments for your students that could be used across subjects (e.g., modeling polymerization in materials science and organic chemistry).

  • – Group discussions on educational tools that educators have used in a teaching capacity.

What you will walk away with

  • An outline of a custom lesson plan where molecular visualization and simulation could be applied to a course you teach
  • Fundamental molecular modeling skills that can be applied to teaching students scientific concepts with real-world applications in drug discovery, materials design, and more
  • Pedagogical ideas to connect commonly taught scientific concepts to topics in human health through molecular visualization

If you have any questions, please reach out to the Schrödinger Education Team at teaching@schrodinger.com for assistance.

Agenda

Register

Frequently Asked Questions

Registration

How do I register for the event?

To register for the event, simply complete the registration form on the homepage. Once submitted, you will receive a confirmation email. Space is limited so we encourage early registration.

Is there a registration fee?

No, registration is completely free to attend the workshop. We will also be providing food and refreshments throughout the day.

Can I join the session virtually / remotely?

As we want to give the attendees help and guidance during the workshop we currently have no intention of running this workshop online. Please reach out if you are interested but are unable to travel to the event location.

Can I cancel my registration if I am unable to attend?

Yes. Please contact us directly at teaching@schrodinger.com.

Event information

When and where is the event taking place?

The “Integrating Computational Molecular Modeling into Science Curricula” Workshop will be held on June 18th, 2025 from 10:00 AM – 2:00 PM, at the University of Illinois, Chicago – Department of Chemistry. Exact classroom location details will be emailed directly to registered participants.
845 W Taylor St, Chicago, IL 60607

What can I expect at the workshop?

This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling. Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

What do I need to bring?

  • A laptop is required for this workshop. We will not be providing any on the day, so please ensure that you bring one. We also recommend that you bring a personal laptop to avoid any firewall restrictions.
  • An external mouse is not required, but we do recommend that you bring one as our software makes full use of the 3 buttons.
  • We will be utilizing the Schrödinger Virtual Computer for a hands-on demo. A suitable web browser is required for accessing this (Chrome, Edge, Firefox).

Will lunch be provided during the event?

Yes, lunch will be provided during designated breaks throughout the workshop. Please specify any dietary restrictions or special accommodations needed during registration.

Is there parking available at the event venue?

Yes, parking facilities will be available. Specific parking garage details will be emailed to registered participants.

Educator’s Month: Integrating Computational Molecular Modeling into Science Curricula

Workshop

Educator’s Month: Integrating computational molecular modeling into science curricula

CalendarDate & Time
  • June 6th, 2025
LocationLocation
  • Harvard University, Boston, Massachusetts
Register

This in-person event will bring together chemistry and biology educators from the Boston area. The event will be hosted at Harvard University. This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling.

Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

There will also be free lunch and a networking hour with like-minded science educators from various Boston-based schools and universities.

Workshop Details

Who should attend:

  • Chemistry and biology professors or teaching faculty (undergraduate, graduate)
  • High school chemistry and biology teachers (college prep, honors, AP/IB level)
  • Chemistry and biology postdoctoral scholars who are interested in teaching

Registration:

Registration is free and includes lunch and refreshments.

Participants must bring their own laptop to access the software, and an external mouse is recommended.

Spots are limited, so please register early to secure your spot.

Registration will close on Friday, May 30th, 2025.

When & Where:

Friday, June 6th from 10:00 AM to 2:00 PM

Harvard University

TBD

Please see the Agenda for more workshop details and our FAQs for information regarding what to bring, getting to the venue, and accessibility.

Event Highlights

– Demo and walkthrough of interdisciplinary lessons that incorporate web-based computational molecular modeling tools, such as (but not limited to) exploring the molecular structure of biomaterials, understanding protein structure in the context of drug discovery, or simulating chemical reactions in biological systems.

– Learn how to use computational tools to create virtual experiments for your students that could be used across subjects (e.g., modeling polymerization in materials science and organic chemistry).

  • – Group discussions on educational tools that educators have used in a teaching capacity.

What you will walk away with

  • An outline of a custom lesson plan where molecular visualization and simulation could be applied to a course you teach
  • Fundamental molecular modeling skills that can be applied to teaching students scientific concepts with real-world applications in drug discovery, materials design, and more
  • Pedagogical ideas to connect commonly taught scientific concepts to topics in human health through molecular visualization

If you have any questions, please reach out to the Schrödinger Education Team at teaching@schrodinger.com for assistance.

Agenda

Register

Frequently Asked Questions

Registration

How do I register for the event?

To register for the event, simply complete the registration form on the homepage. Once submitted, you will receive a confirmation email. Space is limited so we encourage early registration.

Is there a registration fee?

No, registration is completely free to attend the workshop. We will also be providing food and refreshments throughout the day.

Can I join the session virtually / remotely?

As we want to give the attendees help and guidance during the workshop we currently have no intention of running this workshop online. Please reach out if you are interested but are unable to travel to the event location.

Can I cancel my registration if I am unable to attend?

Yes. Please contact us directly at teaching@schrodinger.com.

Event information

When and where is the event taking place?

The “Integrating Computational Molecular Modeling into Science Curricula” Workshop will be held on June 6th, 2025 from 10:00 AM – 2:00 PM, at Harvard University’s Science Center. Exact classroom location details will be emailed directly to registered participants.
1 Oxford St, Cambridge, MA 02138

What can I expect at the workshop?

This workshop will highlight how educators can collaborate to create interdisciplinary lessons using computational molecular modeling. Attendees will be guided through designing lesson plans that merge chemistry, biology, and physics concepts through computational molecular visualization, modeling, and simulation.

What do I need to bring?

  • A laptop is required for this workshop. We will not be providing any on the day, so please ensure that you bring one. We also recommend that you bring a personal laptop to avoid any firewall restrictions.
  • An external mouse is not required, but we do recommend that you bring one as our software makes full use of the 3 buttons.
  • We will be utilizing the Schrödinger Virtual Computer for a hands-on demo. A suitable web browser is required for accessing this (Chrome, Edge, Firefox).

Will lunch be provided during the event?

Yes, lunch will be provided during designated breaks throughout the workshop. Please specify any dietary restrictions or special accommodations needed during registration.

Is there parking available at the event venue?

Yes, parking facilities will be available. Specific parking garage details will be emailed to registered participants.

Educator’s Month: Molecules & Models – A Virtual Science Fair

Virtual Science Fair

Educator’s Month – Molecules & models: A virtual science fair

CalendarDate & Time
  • June 12th, 2025
LocationLocation
  • Virtual

As part of Educator’s Month, Schrödinger will host its first Virtual Science Fair on June 12, 2025. This free event invites undergraduate students from across the U.S.to showcase their research, engage in discussions with Schrödinger judges, and compete for awards recognizing their creativity, effort, and commitment.

Schrödinger’s Virtual Science Fair is open to first-time undergraduate participants across a wide range of disciplines, including, but not limited to, biomedical, biological, and chemical sciences; ecology and environmental sciences; computer science; mathematics; physical sciences; and engineering.

Recent alumni are also eligible to apply for undergraduate work performed. Graduation term must be no earlier than Spring 2024.

While all projects must incorporate a computational component, the use of Schrödinger software is not required.

Computational components may be through: artificial intelligence, experimental design, and molecular modeling in the fields of drug discovery, agrochemicals, materials science, medicinal and organic chemistry, pharmaceuticals, polymers, catalysis, computational biology, biophysics or theoretical chemistry.

Winners will receive a cash prize and access to two free Schrödinger online courses, supporting their continued exploration of computational science.

Presentation recordings will be posted online following the science fair.

Key Dates:

  • Abstract applications: Open now
  • Abstract applications close: Friday, May 23rd
  • Finalists are notified: Tuesday, May 27th
  • Top applicants present their work: Thursday, June 12th

Application Details:

Applications are open until May 23 and you may include a statement of support from a research advisor (1-page maximum, optional). A brief abstract (300-word maximum) summarizing key aspects of the project is required:

  • Title – Clear and informative, reflecting the study’s focus.
  • Background & Research Question – Briefly introduce the topic, its importance, and your hypothesis.
  • Methods – Summarize key techniques, materials, or computational approaches.
  • Results – Highlight main findings, trends, or discoveries (even if preliminary).
  • Conclusion & Implications – Explain the broader impact, applications, and/or future directions.

Finalists will be invited to present their work to a Schrödinger judging panel in a 10-minute presentation on Thursday, June 12, 2025.

Contact us:

Please reach out to teaching@schrodinger.com for questions pertaining to the application process or science fair.

Virtual Cluster

SCHRÖDINGER VIRTUAL CLUSTER

Cloud Computing Environment

A secure, scalable environment for running simulations on the cloud

Virtual Cluster

Simplify your high-performance compute infrastructure with a turn-key cloud environment

The Schrödinger Virtual Cluster is an enabling technology that provides access to Schrödinger software in a standardized, secure, and scalable cloud computing environment. The Virtual Cluster includes pre-configured Schrödinger software, job compute orchestration, a web portal for accessing Maestro and MS Maestro software, and all maintenance and quarterly software release updates.

Strategically partnered with Google Cloud and NVIDIA, Schrödinger offers access to a near-infinite volume of processing power on demand, allowing users to run simulations that require bursts of on-demand compute power, surpassing what can be supplied by on-premise data centers.

Virtual Cluster graphic
Virtual Cluster graphic

Key Capabilities

Check mark icon
Automatically scale your compute resources to meet your project demands

The Virtual Cluster automatically provisions compute resources based on the workload requirements, license availability, and configurable scheduling rules.

Check mark icon
Reduce your infrastructure maintenance burden

Includes a ready-to-use cloud environment with pre-installed Schrödinger software and all routine cluster maintenance by Schrödinger Solution Architects.

Check mark icon
Bring your own cloud or use a Schrödinger-hosted solution

Host the virtual cluster in your own cloud account (all major cloud providers are supported, including Google Cloud, AWS, and Azure) or use a Schrödinger-hosted solution.

Check mark icon
Stay confident in your cloud security

Penetration testing is performed, security best-practices incorporated, and automated security scanning applied using industry standard tools on all Schrödinger-hosted systems.

Related Resources

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

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

Jaguar

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

DeepAutoQSAR

Automated, scalable solution for the training and application of predictive machine learning models

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.

Target enablement, preparation, & validation

Target Enablement Course Image of a ligand and protein

Target enablement, preparation, & validation


Enabling protein structures from x-ray crystallography, cryo-EM, ML-methods, and homology modeling for structure-based computational workflows

Details
Modules
5
Duration
Up to 20 hours over 5 weeks from selected start date
Level
Intermediate
Cost
$645 for non-student users
$240 for student / post-doc
Who should take this course?
Medicinal chemists, cheminformaticians, ML scientists, new computational chemists, and structural biologists

Overview

With the explosion of available structures from x-ray crystallography, cryo-EM and, more recently, machine learning (ML) methods, there is a growing need for tools and workflows for preparing, refining and validating structures for structure-based computational workflows.

Schrödinger’s online course, Target Enablement, Preparation, and Validation will provide expert guidance and best practices to equip you to enable projects for prospective structure-based computational modeling workflows such as virtual screening, molecular dynamics simulations, and free energy perturbation calculations.

This course is ideal for those who wish to develop professionally and expand their CV by earning certification and a badge.

  • Work hands-on with Schrödinger’s industry-leading Maestro and command line interface
  • Jump start your research program by learning methods that can be directly applied to ongoing projects
  • Learn topics ranging from refining AlphaFold structures to cryptic pocket identification
  • Independently perform a 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 within the course session

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 and structural biology
  • Working knowledge of Maestro. This course will not teach you how to navigate the Schrödinger graphical user interface, Maestro. Please work through our Getting Started with Maestro resources to become familiar with using Maestro.
Certification
  • A certificate signed by the Schrödinger course lead to add to your CV or resume
  • A badge that can be posted to social media, such as LinkedIn
background pattern

What you will learn

X-ray and cryo-EM structures

Learn best practices for preparing and refining experimental structures of varying quality

ML-predicted structures and homology modeling

Learn best practices for working with and refining ML-predicted structures (such as from AlphaFold) and homology models

Binding site identification

Learn how to evaluate the drugability of small molecule binding site, as well as search for and characterize potential cryptic pockets

Prospective enablement of a target

Apply your skills by independently enabling a target through thorough inspection of available structures, analysis, and refinement

Modules

Module 1
2 Hours

Target enablement methods and the value of structural validation

Video
Video

Course overview

Checkpoint
Syllabus and honor code

Expectations surrounding academic integrity

Video Tutorial
Videos
  • The importance of structure validation in computational experiments for drug discovery
  • Comparing common target enablement methods
End checkpoint
End of module checkpoint
Module 2
5 Hours

Starting point: X-ray crystal and cryogenic electron microscopy structures

Video
Video

Structure availability and experimental considerations

Tutorial
Tutorials:
  • Structure quality metrics
  • Inspection workflows
  • Protein preparation
  • Basic refinement
End checkpoint
End of module checkpoint
Module 3
4 Hours

Starting point: AlphaFold structures and homology models

Video
Video

Generating, inspecting, and validating AlphaFold and homology models

Tutorial
Tutorials
  • Obtaining and reviewing AlphaFold structures
  • Homology modeling
  • Model refinement methods
End checkpoint
End of module checkpoint
Module 4
5 Hours

Next steps: advanced preparation, refinement, and validation of structures

Video
Video

Refinement and validation methods for more challenging targets

Tutorial
Tutorials
  • Manual protein preparation
  • SiteMap
  • Mixed Solvent Molecular Dynamics
  • WaterMap
  • FEP+ validation
End checkpoint
End of module checkpoint
Module 5
4 Hours

Case study: prepare and validate a structure for computational drug discovery

Video
Video
  • Case study overview
  • Case study findings and course closing
Tutorial
Tutorial

Structural inspection, preparation, and validation

Assignment
Assignment

Review and discuss case study findings

Course completion
Course completion and certification

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!

Life 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 does the Target enablement, preparation, and validation online course cost?

Pricing varies by each course and by the participant type. For students wishing to take this, we offer a student price of $240, and $645 for non-students.

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

Designing Quality Ligand Libraries_Featured image Life Science Life Science
Designing quality ligand libraries

Exploring chemical space, profiling and tailoring ligand libraries, validating docking models, and methods of enumeration for hit discovery

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

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

Release 2025-1

Library Background

Release Notes

Release 2025-1

Small Molecule Drug Discovery

Target Validation & Structure Enablement

Protein Preparation

  • Improved peptide bond connectivity by better integration of sequence information in the Protein Preparation Workflow (PPW)

Protein X-Ray Refinement

  • Phenix/OPLS can now run from CIF files containing reflections

Cryo-EM Model Refinement

  • Improved support of macrocycles in GlideEM/GlideXtal

Binding Site & Structure Analysis

Binding Site Characterization

  • Rationalize kinase selectivity challenges using the Kinase Conservation Analysis Interface that combines sequence and complex structural information: Identify promising selectivity handle residues to modulate ligand kinase selectivity that can be tested with FEP+ Residue Scan

Desmond Molecular Dynamics

  • Optimize the unbinding kinetics of protein-ligand complexes using dissolution rate predictions based on unbinding pathways identified by enhanced sampling methods

Mixed Solvent MD (MxMD)

  • Identify potential binding sites and assess drugability of competitive and allosteric binding sites with the full release of a Mixed Solvent Molecular Dynamics Interface to setup and analyze MxMD simulations

Hit Identification & Virtual Screening

Active Learning Applications

  • Improved diversity of top scoring ligands in Active Learning ABFEP by using 3D features extracted from Glide poses in ML model building
  • Researchers can now specify different batch sizes and selection rules to exploit or explore for each iteration in Active Learning simulations

Lead Optimization

Protein FEP

  • View trajectories and structural output from FEP+ Residue Scans in the FEP+ interface
  • Rationalize key interactions in ligand binding using per-contact residue interaction energy analysis which is new for ABFEP
  • Easily identify disconnected sub-maps in a busy FEP map

Spectroscopy

  • More accurate NMR spectra predictions by identifying magnetically inequivalent nuclei

Macrocycles

  • Automatically enumerate and cyclize peptide sequences from FASTA files with the new cyclize_peptide.py script
  • Ring template generation for Glide macrocycle docking with bespoke parameters is now automated by the macrocycle_template_gen.py script
  • An updated macrocycle_sample.py script with greater control of sampling options and a new receptor-aware macrocycle sampling algorithm that includes surrounding receptor atoms to restrict conformational search space
    • Updated macrocycle_sample.py script replaces macro_sample.py
  • Improved handling of ring nitrogen atom substituents during ring template conformation generation
  • tug_align.py now supports 2D ligand files as inputs
  • tug_align.py exposes several new command-line options that allow finer control of the alignment convergence criteria which are useful in reducing convergence times for large molecules such as cyclic peptides

Medical Chemistry Design

Ligand Designer

  • Enable user-specificed or automatically generated ligand protonation and tautomeric states from the 2D/3D editing workflow for MCS Docking

Biologics Drug Discovery

  • Completely rewritten MMGBSA Residue Scanning backend that is more reliable and has improved support for a wider variety of non-standard amino acids and mutation of DNA/RNA
  • New high-throughput, machine learning-based antibody and nanobody structure prediction with ImmuneBuilder. With throughput of about one minute per structure, it is suitable for batch modeling of thousands of structures
  • Automatically identify and annotate for visualization TCR alpha and beta chains from a FASTA file (commandline run_tcr_modeling.py)
  • Updated N-glycosylation PROSITE pattern that is less restrictive

Materials Science

GUI for Quantum ESPRESSO

Product: Quantum ESPRESSO (QE) Interface

  • Workflow solution to calculate the defect energy
  • Workflow action menu (WAM) for output from periodic DFT convergence test
  • Support for setting total magnetization/charge for each structure
  • Support for computing thermodynamic properties via dynmat.x (command line)
  • Support for stopping an NEB calculation and returning intermediate structures

Materials Informatics

Product: MS Informatics

  • Formulation ML: Option to control advanced settings
  • Machine Learning Property: Skip structures outside the model scope
  • Machine Learning Property: Prediction of singlet (S0) to triplet (T1) energy
  • Machine Learning Property: Prediction of hole / electron reorganization energy
  • Machine Learning Property: Prediction of orbital (HOMO / LUMO) energy
  • Machine Learning Property: Updates to existing models

Coarse-Grained (CG) Molecular Dynamics

Product: MS CG

  • Automated CG Mapping: Mapping MARTINI for speciality chemicals / polymers
  • CG FF Builder: Support for exporting atomistic reference data

Dielectric properties

Product: MS Dielectric

  • Complex Permittivity: Linear fitting parameter retained during exponential fitting

Reactivity

Product: MS Reactivity

  • Nanoreactor: Control over thermostat bath temperature
  • Nanoreactor: Support for parallelization of xTB dynamics simulations
  • Reaction Workflow: Support for the use of the xTB Hessian for transition states
  • Reaction Workflow: Use of input conformers when conformation search fails
  • Reaction Workflow: Improved SCF convergence for energy calculations

Microkinetics

Product: MS Microkinetics

  • Microkinetic Modeling: Improved speed/scalability by up to 2 orders of magnitude
  • Microkinetic Modeling: Improved model for multiple catalysts / catalyst site types
  • Microkinetic Modeling: Improved data visualization in the viewer
  • Microkinetic Modeling: Job name shown in the viewer

Reactive Interface Simulator

Product: MS RIS

  • Solid Electrolyte Interphase: Improved subjob queuing coordination
  • Solid Electrolyte Interphase: Support for constant pressure (NpT) simulations (command-line)

MS Maestro Builders and Tools

  • GUI panel to digitally design, manage, and visualize OLED devices
  • Single Complex: Improved UI for better usability
  • Solvate System: Support for generating multiple configurations by random seeds

Classical Mechanics

  • Workflow solution to compute thin plane shear friction
  • Barrier Potential for MD: Support for reading barrier information from entry
  • Evaporation: Option to plot total number of molecules removed from the system
  • Evaporation: Information tied to barriers (when applied) logged in the output
  • Polymer Crosslink: Improved speed by efficient checking for ring spears
  • Trajectory Density Analysis: Option to display multiple density depths
  • Trajectory Density Analysis: Export option for 2D heat-map plot

Quantum Mechanics

  • Workflow solution to plot phase diagrams based on energy
  • Workflow solution to compute and analyze computational ellipsometry data
  • QM Convergence Monitor: Easy access to the structure from the last step

Education Content

Life Science

  • New tutorial: Refining crystallographic protein-ligand structures using GlideXtal and Phenix/OPLS

Materials Science

  • New tutorial: Automated Martini Fitting for Coarse-Grained Simulations
  • New tutorial: Thin Shear
  • New tutorial: Defect Energy Calculation
  • New tutorial: Optoelectronics Device Designer
  • New tutorial: Computational Ellipsometry
  • New tutorial: Phase Diagrams
  • New tutorial: Ab initio Molecular Dynamics Simulations of Li-ion Diffusion in Solid State Electrolytes
  • Updated tutorial: Microkinetic Modeling
  • Updated tutorial: Organometallic Complexes

LiveDesign

What’s New in 2025-1

  • Biologics
    • Forms view now require the Sequence Viewer to drilldown from another widget
    • Performing a sequence alignment now shows an alert indicating the type of Alignment, and provides a “Try Again” button if the alignment fails
    • Forms views that contain both a Sequence Viewer and 3D Visualizer permit a synchronized selection of amino acid residues, such that selecting an amino acid in the Sequence Viewer will highlight the amino acid in the 3D Visualizer, and vice versa
    • Sequence search options now permit searching the Database, Active LiveReports, and Other LiveReports
    • View non-natural amino acid molecular structure in a tooltip by hovering over residues in the sequence viewer
    • Toggle monomers’ display format in the sequence viewer to view either single-letter FASTA format, or a custom symbol for non-natural monomers (up to 6 characters)
    • Reset Gap Penalties, Numbering Scheme, and Scoring Metrics to their default values for each alignment method
    • Substructures searches in Advanced search panel support a “Match by Child” option, which enables searching against an entity’s subcomponents
  • Performance Improvements
    • Small Molecules uploaded from file imports, enumeration, and Maestro uploads appear in the LiveReport more quickly
  • Landing Page: View all of a compound’s experimental data on the Compound’s detail page
  • Data and Columns Tree:
    • Group Multi-Parameter Optimization columns and Formulas columns into folders
    • The button text to create new Formulas, MPOs and FFCs has been changed from “NEW” to “CREATE”
    • Published Limited Assay Columns now show the [LIM] prefix in the Data & Columns Tree
  • A new MAE-FILE macro for Protocols in the Admin Panel allows Protocol and Models to access compounds and biologics using a Maestro file format. The Maestro file format includes residue information for Biologics
  • Configure LiveDesign to send an email on usage statistics, including: the number of unique logins over the last month, total number of active users, Number of compounds added last week, total number of compounds, total number of LiveReports updated last week, total number of active LiveReports and number of active LiveReports. For each user, the following information is reported: username, date of first login, date of last login, number of owned LiveReports
  • Configure a server-wide search setting to set the default searching behavior in the search panel to the Database, the Active LiveReport, or Other LiveReports
  • A new LDClient method, get_all_compounds(), enables retrieving all compounds within a specified list of projects
  • Sketched reactions within the Reaction Enumeration tool can now use atom queries to add greater specificity to the reaction definition

What’s Been Fixed

  • Previously, changes to gap penalties were not persisting when saved in the Forms view, and now gap penalty values will persist correctly upon modification and saving
  • The “Batch Create Limited Assay Columns” option previously was unavailable in the column menu, if the column was within a column group, and now the option always appears
  • The residue synchronization between the 3D Visualizer and Sequence Viewer now remains functional even after changing the numbering scheme in Sequence Viewer
  • Model results would occasionally appear as Failed in the LiveReport, when in fact the model ran successfully, and now model results correctly show results in the LiveReport
  • The Assay Viewer Tool would occasionally change the date filter to 0 days and would not show data, and now defaults to showing data that was uploaded within the previous day.
  • Model results would occasionally appear as Failed in the LiveReport, when in fact the model ran successfully, and now model results correctly show results in the LiveReport
  • Ligand Designer’s deleted poses would occasionally reappear, and now no longer reappear
  • Protocols and Models showed their created date as one day earlier than their actual created date, and now show the correct date
  • LiveReport filters did not support filtering for Real or Virtual Biologics, and now provide quick toggles to apply those filters
  • Opening a model attachment from the main spreadsheet (e.g., a LID from a Glide model) would fail to show the image, and now correctly shows the image
  • Plot tooltips could not be dragged and moved after pinning to the screen, and now can be dragged to a new position after pinning
  • Importing a biologic entity would occasionally not show its subcomponents in the main spreadsheet, and now will correctly show its subcomponents
  • LiveDesign would occasionally fail to open LiveReports due to a database lock, and now no longer will freeze
  • Filtering out a frozen row would show flashing squares in the first row in the main spreadsheet, and now correctly shows that row’s data
  • The sequence viewer would show all entities in the LiveReport, even when only one entity was selected, and now correctly shows only the selected entities
  • Horizontally scrolling the sequence viewer would reset the ruler, and show the wrong residue numbers at the top, and now shows the correct residue numbers
  • Opening the Project Picker would occasionally take several seconds to show the list of projects, and now shows the list of projects immediately
  • LiveDesign would occasionally fail to open LiveReports due to a database lock, and now no longer will freeze
  • Filtering out a frozen row would show flashing squares in the first row in the main spreadsheet, and now correctly shows that row’s data
  • Exporting a LiveReport defaulted to exporting a subset of columns, and now defaults to exporting all of the columns
  • Syncing LiveDesign users with external authentication systems would fail because LiveDesign counted unlicensed users against the total license count, and now permits syncing users as long as there are available licenses
  • License files would occasionally fail to upload in the Admin Panel UI, and now correctly upload
  • User email addresses would not save in LiveDesign when using Single Sign-on, and LiveReport notifications would not be emailed to users. Email addresses and are now correctly saved
  • LiveReport tabs would disappear after logging out and logging in, and now correctly appear after logging back in
  • Duplicating a LiveReport defaulted to copying a subset of columns, and now defaults to copying all of the columns

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