- Publication
- Apr 26, 2023
Rational design of a highly immunogenic prefusion-stabilized F glycoprotein antigen for a respiratory syncytial virus vaccine
Che, et al. Sci Transl Med, 2023, 15(693)- Publication
- Apr 15, 2023
Scaffold Hopping and Optimization of Small Molecule Soluble Adenyl Cyclase Inhibitors Led by Free Energy Perturbation
Shan Sun, et al. Journal of Chemical Information and Modeling, 2023- Publication
- Apr 10, 2023
On Ternary Complex Stability in Protein Degradation: In Silico Molecular Glue Binding Affinity Calculations
Weiss, et al. Journal of Chemical Information and Modeling, 2023, 63(8), 2382-2392- Publication
- Apr 6, 2023
Epik: pKa and Protonation State Prediction through Machine Learning
Ryne C. Johnston, et al. Journal of Chemical Theory and Computation, 2023- Publication
- Mar 10, 2023
Benchmark and Refinement of AlphaFold2 Structures for Hit Discovery
Yuqi Zhang, et al. Journal of Chemical Information and Modeling, 2023, 63(6), 1656-1667- Publication
- Jan 11, 2023
Structure-Activity Relationship Studies of Antimalarial Plasmodium Proteasome Inhibitors-Part II
Hao Zhang, et al. Journal of Medicinal Chemistry, 2023, 66(2), 1484-1508- Publication
- Dec 29, 2022
A novel method for in silico assessment of Methionine oxidation risk in monoclonal antibodies: Improvement over the 2-shell model
Davide Tavella, et al. PLoS ONE, 2022, 17(12)- Publication
- Dec 27, 2022
Target-template relationships in protein structure prediction and their effect on the accuracy of thermostability calculations
Muyun Lihan, et al. Protein Science, 2023, 32(2)- Publication
- Dec 5, 2022
Pathfinder-Driven Chemical Space Exploration and Multiparameter Optimization in Tandem with Glide/IFD and QSAR-Based Active Learning Approach to Prioritize Design Ideas for FEP+ Calculations of SARS-CoV-2 PLpro Inhibitors
Gumede NJ., Molecules, 2022, 27, 8569- Publication
- Nov 16, 2022
Reliable and Accurate Prediction of Single-Residue pKa Values through Free Energy Perturbation Calculations
Dilek Coskun, et al. Journal of Chemical Theory and Computation, 2022, 18(12), 7193-7204- Publication
- Oct 1, 2022
Potent and selective TYK2-JH1 inhibitors highly efficacious in rodent model of psoriasis
Leit et al., Bioorg. Med. Chem. Lett. , 2022, 73, 28891- Publication
- Sep 13, 2022
Are Deep Learning Structural Models Sufficiently Accurate for Free-Energy Calculations? Application of FEP+ to AlphaFold2-Predicted Structures
Thijs Beuming, et al. Journal of Chemical Information and Modeling, 2022, 62(18), 4351-4360Case Studies
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Life Science
Case Study
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Case Study
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Documentation
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Online Help and Documentation
An online resource of information and instruction on how to use Schrödinger software including user manuals, panel descriptions, installation guides, reference sheets, tutorials, and more.
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Training Videos
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Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
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A Sneak Peek into Renumbering Residues and the Project Table in BioLuminate
The sixth video in the Getting Going with Maestro BioLuminate Video Series: renaming chains and residues, the Project Table.
Publications
- Publication
- Mar 5, 2025
A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
Zhou, et al. Nature Communications, 2025, 16, 2210- Publication
- Feb 28, 2025
Exploiting solvent exposed salt-bridge interactions for the discovery of potent inhibitors of SOS1 using free-energy perturbation simulations
Leffler, et al. ACS Medicinal Chemistry Letters, 2025- Publication
- Feb 20, 2025
Predicting Resistance to Small Molecule Kinase Inhibitors
Nagarajan, et al. Journal of Chemical Information and Modeling, 2025, PreprintQuick Reference Sheets
Tutorials
- Tutorial
BACE1 Inhibitor Design Using Free Energy Perturbation
Prepare, run, and analyze a free energy perturbation (FEP) simulation for a series of BACE1 inhibitors using FEP+.
- Tutorial
Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking
Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking
- Tutorial
Introduction to MD Simulations with Desmond
Prepare, run, and perform simple analysis on an all-atom MD simulation with Desmond.
Webinars
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Life Science
- Apr 23, 2025
Computational strategies for discovering and optimizing RNA- and DNA-targeting molecules
In this webinar, we will showcase how Schrödinger’s advanced computational solutions are enabling accurate and efficient targeting of RNA and DNA systems by small molecules.
Webinar
Life Science
- Apr 16, 2025
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16回
Accelerating protein degrader discovery: Computational strategies for degrader design and optimization
Webinar
Life Science
Materials Science
- Apr 8, 2025
Accelerating pharmaceutical formulations using machine learning approaches
In this webinar, we will demonstrate how Schrödinger’s integrated ML- and physics-based approaches are transforming pharmaceutical formulation design.
White Papers
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
White Paper
Life Science
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
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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.
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