- Publication
- Mar 11, 2022
A Descriptor Set for Quantitative Structure-Property Relationship Prediction in Biologics
Kannan Sankar, et al. Mol Inform, 2022
- Publication
- Feb 24, 2022
Plasticity in ligand recognition at somatostatin receptors
Michael J. Robertson, et al. Nature Structural & Molecular Biology, 2022, 29, 210-217
- Publication
- Jan 30, 2022
Accurate Prediction of Protein Thermodynamic Stability Changes upon Residue Mutation using Free Energy Perturbation
Guido Scarabelli, et al. JMB, 2022, 434(2)
- Publication
- Jan 28, 2022
Decisive role of water and protein dynamics in residence time of p38α MAP kinase inhibitors
Pantsar, et al. Nature Communications, 2022, 13, 569
- Publication
- Jan 28, 2022
Decisive role of water and protein dynamics in residence time of p38′ MAP kinase inhibitors
Tatu Pantsar, et al. Nature Communications, 2022, 13(569)
- Publication
- Jan 21, 2022
The Impact of Experimental and Calculated Error on the Performance of Affinity Predictions
Gary Tresadern, et al. JCIM, 2022, 62(3), 703-717
- Publication
- Dec 1, 2021
From computer-aided drug discovery to computer-driven drug discovery
Leah Frye, et al. Drug Discovery Today: Technologies, 2021, 39, 111-117
- Publication
- Nov 19, 2021
Impacting Drug Discovery Projects with Large-Scale Enumerations, Machine Learning Strategies, and Free-Energy Predictions
Jennifer L. Knight, et al. Free Energy Methods in Drug Discovery, 2021, 1397, 205-226
- Publication
- Nov 2, 2021
The transcriptional corepressor CtBP2 serves as a metabolite sensor orchestrating hepatic glucose and lipid homeostasis
Sekiya, et al. Nat Commun, 2021, 12(1), 6315
- Publication
- Oct 22, 2021
Biological activity validation of a computationally designed Rituximab/CD3 T cell engager targeting CD20+ cancers with multiple mechanisms of action
Cai, et al. Antib Ther, 2021, 4(4), 228-241
- Publication
- Sep 30, 2021
Efficient Exploration of Chemical Space with Docking and Deep-Learning
Ying Yang, et al. ACS Publications, 2021, 17(11), 7106-7119
- Publication
- Aug 5, 2021
Macromolecular refinement of X-ray and cryo-electron microscopy structures with Phenix / OPLS3e for improved structure and ligand quality
van Zundert, et al. Structure, 2021
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Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第22回
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- Feb 25th-26th, 2026
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Life Science
- Feb 18, 2026
Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第22回
Predictive toxicology solutions: Actionable, structure-based insights to dial-out tox liabilities early
Webinar
Life Science
- Feb 19, 2026
Introducing RetroSynth: Breaking the synthesis bottleneck with AI and physics-based modeling
Join us for the introduction of RetroSynth, Schrödinger’s AI-driven synthesis planning platform. RetroSynth is engineered to accelerate and scale conventional retrosynthesis by harnessing advanced deep learning algorithms.
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Life Science
- Feb 26, 2026
Building a biotech: Enabling a successful digital drug discovery program with a connected platform
Join us to see how this powerful solution can accelerate your DMTA cycles and enable your teams – this isn’t about complex simulations, it’s about giving your team the tools they need to make better decisions, faster.
Documentation
- Documentation
Learning Path: Oligonucleotide Modeling
A structured overview of tools and workflows for nucleic acids in drug discovery.
- Documentation
WaterMap
Efficiently converged MD simulations are run with explicit water molecules, and resultant trajectories are analyzed to cluster hydration sites.
- Documentation
SiteMap
Identify binding sites, including allosteric binding sites and protein-protein interfaces, and evaluate their druggability.
Tutorials
- Tutorial
Structure-Based Virtual Screening using Glide
Prepare receptor grids for docking, dock molecules and examine the docked poses.
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Ligand Binding Pose Generation for FEP+
Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking.
- Tutorial
Homology Modeling of Protein-Ligand Binding Sites with IFD-MD
Create a homology model of TYK2 from JAK3 and including a bound ligand. Compare this model with the crystal structure for TYK2 bound to 4GIH.
Training Videos
Video
Life Science
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
Video
Life Science
- Video
Introducing Ligand Designer
An overview of the LigandDesigner workflow, Editing in 2D and 3D, using display options and overlays, and accessing the Admin Panel.
Publications
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- Oct 13, 2025
Accelerated in silico discovery of SGR-1505: A potent MALT1 allosteric inhibitor for the treatment of mature B-cell malignancies
Nie Z, et al. J. Med. Chem., 2025
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- Oct 12, 2025
Discovery of highly potent noncovalent inhibitors of SARS-CoV-2 main protease through computer-aided drug design
Okabe A, et al. J Med Chem, 2025
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- Sep 17, 2025
Accurate hydration free energy calculations for diverse organic molecules with a machine learning force field
Xie, et al. ChemRxiv, 2025, 1, Preprint
Case Studies
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Life Science
Materials Science
Case Study
Life Science
Case Study
Life Science
White Papers
White Paper
Life Science
- Jan 29, 2026
FEP+ Pose Builder — maximizing utility and productivity in FEP simulations
FEP+ Pose Builder is a methodological advancement introduced as an integrated feature to drastically enhance accessibility, user-friendliness, and productivity within the FEP+ pipeline.
White Paper
Life Science
- Oct 29, 2024
20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS
Glide has long set the gold standard for commercial molecular docking software due to its robust performance in both binding mode prediction and empirical scoring tasks, ease of use, and tight integration with Schrödinger’s Maestro interface and molecular discovery workflows.
White Paper
Life Science
Quick Reference Sheets
- Quick Reference Sheet
Force Field Builder
A one-page guide to calculate missing torsion parameters for ligands using the Force Field Builder panel.
- Quick Reference Sheet
Ligand Interaction Diagram
A one-page guide to using the Ligand Interaction Diagram for examining ligand-receptor interactions.
- Quick Reference Sheet
GlideMap
A one-page guide to using the GlideMap GUI for ligand placement guided by experimental density.
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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.
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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.