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  • 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
  • Feb 16, 2023
Structure-based assessment and druggability classification of protein-protein interaction sites
Lara Alzyoud, et al. Scientific Reports, 2023, 12, 7975
  • 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, 205-226
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