- Publication
- Apr 14, 2023
Epik: pKa and Protonation State Prediction through Machine Learning
Ryne C. Johnston, et al. Journal of Chemical Theory and Computation, 2023- Publication
- Mar 8, 2023
Design and Synthesis of Novel Oxime Ester Photoinitiators Augmented by Automated Machine Learning
Won Jung Lee, et al. Chemistry of Materials, 2022, 34(1), 116-127- Publication
- Mar 3, 2023
Novel Physics-Based Ensemble Modeling Approach That Utilizes 3D Molecular Conformation and Packing to Access Aqueous Thermodynamic Solubility: A Case Study of Orally Available Bromodomain and Extraterminal Domain Inhibitor Lead Optimization Series
Richard S. Hong, et al. Journal of Chemical Information and Modeling, 2021, 61(3), 1412-1426- Publication
- Feb 16, 2023
Structure-based assessment and druggability classification of protein-protein interaction sites
Lara Alzyoud, et al. Scientific Reports, 2023, 12, 7975- Publication
- Feb 16, 2023
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
- Jan 3, 2023
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), 4351-4360- Publication
- Oct 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
- Jul 1, 2022
ePharmaLib: A Versatile Library of e-Pharmacophores to Address Small-Molecule (Poly-)Pharmacology
Aur’lien F. A. Moumbock, et al. JCIM, 2022, 61(7), 3659-3666- Publication
- Jun 14, 2022
Discovery of a Novel Class of d-Amino Acid Oxidase Inhibitors Using the Schr’dinger Computational Platform
Haifeng Tang, et al. Journal of Medicinal Chemistry, 2022, 65(9), 6775-6802- Publication
- Jun 14, 2022
Exploring the Activity Profile of TbrPDEB1 and hPDE4 Inhibitors Using Free Energy Perturbation
Lorena Zara, et al. ACS Medicinal Chemistry Letters, 2022, 13(6), 904-910- Publication
- May 19, 2022
From computer-aided drug discovery to computer-driven drug discovery
Leah Frye, et al. Drug Discovery Today: Technologies, 2021, 39, 111-117- Publication
- May 19, 2022
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, 205-226Latest 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.
Other Resources