- Publication
- Mar 4, 2017
Adverse Drug Reactions Triggered by’the Common HLA-B*57:01 Variant: A Molecular Docking Study
Van Den Driessche, et al. J. Cheminform., 2017, 9 (13), 1-17
- Publication
- Feb 25, 2017
Investigating Protein-Peptide Interactions Using the Schr’dinger Computational Suite
Bhachoo, et al. Methods Mol Biol., 2017, 1561, 235-254
- Publication
- Feb 22, 2017
Computational Tool for Fast In silico Evaluation of hERG K+ Channel Affinity
Chemi, et al. Front. Chem., 2017, 5 (7), 1-9
- Publication
- Feb 15, 2017
Identification of Novel Fluorescent Probes Preventing PrPSc Replication in Prion Diseases
Zaccagnini, et al. European Journal of Medicinal Chemistry, 2017, 127 (15), 859-873
- Publication
- Jan 19, 2017
Acylguanidine Beta Secretase 1 Inhibitors: A Combined Experimental and Free Energy Perturbation Study
Ker’nen, et al. J. Chem. Theory Comput., 2017, 13, 1439-1453
- Publication
- Nov 23, 2016
Accurate Modeling of Scaffold Hopping Transformations in Drug Discovery
Wang, et al. J. Chem. Theory Comput., 2017, 13 (1), 42-54
- Publication
- Nov 8, 2016
Relative Binding Free Energy Calculations Applied to Protein Homology Models
Cappel, et al. J. Chem. Inf. Model., 2016, 56 (12), 2388-2400
- Publication
- Oct 31, 2016
Automated Protocol for Large-Scale Modeling of Gene Expression Data
Hall, et al. J. Chem. Inf. Model., 2016, 56 (11), 2216-2224
- Publication
- Sep 19, 2016
AutoQSAR: An Automated Machine Learning Tool for Best-Practice QSAR Modeling
Dixon, et al. Future Med. Chem., 2016, 8 (15), 1825-1839
- Publication
- Aug 30, 2016
Predicting Binding Affinities for GPCR Ligands Using Free-Energy Perturbation
Lenselink, et al. ACS Omega, 2016, 1, 293-304
- Publication
- Jul 13, 2016
Discovery and Structure Activity Relationships of a Highly Selective Butyrylcholinesterase Inhibitor by Structure-Based Virtual Screening
Dighe, et al. J. Med. Chem., 2016, 59, 7683-7689
- Publication
- May 2, 2016
Simple Predictive Models of Passive Membrane Permeability Incorporating Size-Dependent Membrane-Water Partition
Leung, et al. J. Chem. Inf. Model., 2016, 56(5), 924-929
Events
Webinar
Life Science
- Mar 18, 2026
デジタル創薬セミナー ~計算化学がもたらす創薬プロセスの変貌~ 第23回
Rethinking the rules: Exploiting solvent exposed salt-bridge interactions with free energy perturbation simulations for the discovery of potent inhibitors of SOS1
Webinar
Materials Science
- Mar 18, 2026
The Importance of Human Know-How in AI Execution for Materials R&D
Join us to explore how Schrödinger’s domain experts integrate these three pillars to streamline material optimization.
Event
Life Science
- Mar 18th-20th, 2026
AI Convergence 2026
Schrödinger is excited to be participating in the AI Convergence: Small Molecule Drug Discovery Summit 2026 taking place on March 18th – 20th in Boston, Massachusetts.
Webinars
Webinar
Life Science
- Mar 18, 2026
デジタル創薬セミナー ~計算化学がもたらす創薬プロセスの変貌~ 第23回
Rethinking the rules: Exploiting solvent exposed salt-bridge interactions with free energy perturbation simulations for the discovery of potent inhibitors of SOS1
Webinar
Life Science
- Mar 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.
Webinar
Life Science
- Mar 26, 2026
Embracing a new era of toxicity screening: Atomic-resolution modeling to mitigate off-target liabilities
Join us for a technical overview of Schrödinger’s Predictive Toxicology solution. This session will demonstrate how physics-based, atomic-resolution modeling transforms toxicology from a reactive “filter” into a proactive “design tool.”
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.
- Tutorial
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
- Publication
- 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
- Publication
- 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
- Publication
- 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
Case Study
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.
Latest insights from Extrapolations blog
With FEP+, “The Experiment is the Limit.”
Over the past century, small molecule drugs have represented the dominant modality in drug research, enabling medical breakthroughs that have saved countless lives.
Tackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods
The complexity and size of drug candidates has grown in recent years as scientists pursue novel targets once considered undruggable.
Blog
Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In
We recently sat down with Edward Miller, Senior Director of Protein Structure Modeling at Schrödinger, to discuss his experience using AlphaFold models for SBDD.
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.
Free learning resources
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