- Publication
- Apr 23, 2024
FEP augmentation as a means to solve data paucity problems for machine learning in chemical biology
Burger PB, et al. J. Chem. Inf. Model., 2024, 64(9), 3812–3825- Publication
- Apr 1, 2024
Exploiting high-energy hydration sites for the discovery of potent peptide aldehyde inhibitors of the SARS-CoV-2 main protease with cellular antiviral activity
Carney, et al. Bioorganic & Medicinal Chemistry, 2024- Publication
- Mar 12, 2024
Lead optimization of small molecule ENL YEATS inhibitors to enable in vivo studies: Discovery of TDI-11055
Michino M, et al. ACS Med. Chem. Lett., 2024, 15, 4, 524–532- Publication
- Feb 21, 2024
Structure-guided engineering of immunotherapies targeting TRBC1 and TRBC2 in T cell malignancies
Ferrari, et al. Nat Commun, 2024, 15, 1583- Publication
- Feb 20, 2024
Linking ATP and allosteric sites to achieve superadditive binding with bivalent EGFR kinase inhibitors
Wittlinger, et al. Communications Chemistry, 2024, 7, 38- Publication
- Feb 19, 2024
Structure–activity relationship of a pyrrole based series of PfPKG inhibitors as anti-malarials
Gilleran JA, et al. Journal of Medicinal Chemistry, 2024, 67(5), 3467–3503- Publication
- Feb 1, 2024
Enabling Structure-Based Drug Discovery Utilizing Predicted Models
Miller, et al. Cell, 2024, 187(3), 521-525- Publication
- Jan 19, 2024
Enumerable libraries and accessible chemical space in drug discovery
Knehans T, et al. Computational Drug Discovery: Methods and Applications, 2024, Chapter 14- Publication
- Dec 15, 2023
Using AlphaFold and Experimental Structures for the Prediction of the Structure and Binding Affinities of GPCR Complexes via Induced Fit Docking and Free Energy Perturbation
Dilek Coskun, et al. J. Chem. Theory Comput., 2023- Publication
- Dec 5, 2023
Basic Residues at Position 11 of α-Conotoxin LvIA Influence Subtype Selectivity between α3β2 and α3β4 Nicotinic Receptors via an Electrostatic Mechanism
Haufe, et al. ACS Chem. Neurosci, 2023- 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., 2023Case Studies
Documentation
- Documentation
Learning Path: Computational Structure Prediction
A structured overview of tools and workflows for predicting biomacromolecular structures in whole or in part.
- Documentation
Learning Path: Virtual Screening
A structured overview of how to construct a virtual screening pipeline.
Events
- Apr 27, 2025
Innovate big, think “small”: Optimizing formulations at the molecular level with physics-powered AI
Join us for this two-hour workshop on the practical applications of molecular scale, physics-informed AI for research scientists.
- Apr 27th-30th, 2025
2025 AOCS Annual Meeting & Expo
Schrödinger is excited to be participating in the 2025 AOCS Annual Meeting & Expo conference taking place on April 27th – 30th in Portland, Oregon.
- May 2, 2025
Digital Formulation: Shaping the Future of Sustainable Medicines Manufacturing
Schrödinger is excited to be participating in the Mesox Symposium taking place on May 2nd in Birmingham, United Kingdom.
Product Videos
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
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
- Apr 18, 2025
Enabling in-silico Hit Discovery Workflows Targeting RNA with Small Molecules
Chopra, et al. Theoretical and Computational Chemistry, 2025, 1, Preprint- 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, 2025Quick Reference Sheets
Tutorials
- Tutorial
Structure-Based Virtual Screening using Glide
Prepare receptor grids for docking, dock molecules and examine the docked poses
- 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
Antibody Visualization and Modeling in BioLuminate
Visualize, build, and evaluate antibody models, analyze an antibody for various characteristics, dock an antigen to an antibody.
Webinars
- May 14, 2025
Computational insights into polymer excipient selection for amorphous solid dispersions
In this webinar, we will highlight how molecular models can aid our ability to screen through standard polymer excipients for target lists to push into lab testing.
- May 14, 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17回
Enabling cryoEM structures for drug discovery with the Schrödinger Suite
- 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.
White Papers
- 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.
Latest insights from Extrapolations blog
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.