- Publication
- Dec 1, 2023
Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks
Schmitt, et al. MAbs, 2023, 15(1), 2169440
- Publication
- Nov 28, 2023
Free Energy Perturbation Approach for Accurate Crystalline Aqueous Solubility Predictions
Hong, et al. J. Med. Chem., 2023
- Publication
- Nov 17, 2023
Geometric Deep Learning for Structure-Based Ligand Design
Powers, et al. ACS Central Science, 2023
- Publication
- Nov 15, 2023
Structure-Guided Design of a Domain-Selective Bromodomain and Extra Terminal N-Terminal Bromodomain Chemical Probe
Bradley, et al. Journal of Medicinal Chemistry, 2023, 66(23), 15728-15749
- Publication
- Nov 9, 2023
Is the Functional Response of a Receptor Determined by the Thermodynamics of Ligand Binding?
Vögele, et al. J. Chem. Theory Comput., 2023, 19(22), 8414–8422
- Publication
- Oct 21, 2023
Structural and mechanistic insights into the inhibition of respiratory syncytial virus polymerase by a non-nucleoside inhibitor
Yu, et al. Communications Biology, 2023, 6, 1074
- Publication
- Oct 14, 2023
The maximal and current accuracy of rigorous protein-ligand binding free energy calculations
Ross, et al. Communications Chemistry, 2023, 6(222)
- Publication
- Sep 28, 2023
Design and Optimization of Novel Competitive, Non-peptidic, SARS-CoV-2 Mpro Inhibitors
Jacobs, et al. ACS Medicinal Chemistry Letters, 2023, 14(10)
- Publication
- Sep 8, 2023
Shape-Based Virtual Screening of a Billion-Compound Library Identifies Mycobacterial Lipoamide Dehydrogenase Inhibitors
Michino, et al. ACS Bio & Med Chem Au, 2023
- Publication
- Aug 18, 2023
FEP Protocol Builder: Optimization of Free Energy Perturbation Protocols Using Active Learning
C’sar de Oliveira, et al. Journal of Chemical Information and Modeling, 2023
- Publication
- Jul 10, 2023
Discovery of a Potent and Selective Tyrosine Kinase 2 Inhibitor: TAK-279
Leit, et al. J. Med. Chem., 2023, 66(15), 10473–10496
- Publication
- Jun 21, 2023
Discovery and Optimization of the First ATP Competitive Type-III c-MET Inhibitor
Michaelides, et al. Journal of Medicinal Chemistry, 2023, 66(13), 8782-8807
Events
Event
Life Science
- May 15, 2026
PEGS 2026
Schrödinger is excited to be participating in the PEGS 2026 conference taking place on May 11th – 15th in Boston, Massachusetts.
Event
Materials Science
- May 15, 2026
高機能素材Week大阪マテリアルDX展出展 @インテックス大阪
展示ブースでは、セミナー開催のほか、先進の技術について専門技術者が解説し、お客様からのご質問にお答えします。 出展ゾーン：マテリアルDX展 小間番号： K21-26
Event
Materials Science
- May 15, 2026
Peter O. Stahl Advanced Design Forum 2026
Schrödinger is excited to be participating in the Peter O. Stahl Advanced Design Forum taking place on May 14th – 15th in Wayzata, Minnesota.
Webinars
Webinar
Life Science
- May 27th – Jun 3rd, 2026
Biologics modeling for wet lab scientists: Detecting and deprioritizing dead ends before they reach the bench
Join us to learn how to detect and deprioritize high-risk candidates, effectively discarding developability dead-ends before they ever reach the bench.
Webinar
Life Science
- Jun 4, 2026
Generative Glide: AI-driven ultra-large virtual screening for real-world drug discovery
Join us as we go beyond slides and run a demo of the workflow, showing how Generative Glide performs in practice from setup through results.
Webinar
Life Science
- May 6, 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.
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
- Dec 3, 2025
Glide WS: Methodology and Initial Assessment of Performance for Docking Accuracy and Virtual Screening
Friesner, et al. Journal of Chemical Theory and Computation, 2025, 21(24), 12696–12708
- 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
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