W
Woody Sherman
Researcher at Schrödinger
Publications - 107
Citations - 16711
Woody Sherman is an academic researcher from Schrödinger. The author has contributed to research in topics: Virtual screening & Docking (molecular). The author has an hindex of 47, co-authored 102 publications receiving 13140 citations. Previous affiliations of Woody Sherman include University of Massachusetts Amherst & Columbia University.
Papers
More filters
Journal ArticleDOI
Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments
TL;DR: It is shown that database enrichment is improved with proper preparation and that neglecting certain steps of the preparation process produces a systematic degradation in enrichments, which can be large for some targets.
Journal ArticleDOI
Novel procedure for modeling ligand/receptor induced fit effects.
TL;DR: A novel protein-ligand docking method that accurately accounts for both ligand and receptor flexibility by iteratively combining rigid receptor docking (Glide) with protein structure prediction (Prime) techniques is presented.
Journal ArticleDOI
Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field.
TL;DR: This work uses explicit solvent molecular dynamics free energy perturbation to predict the absolute solvation free energies of a set of 239 small molecules, spanning diverse chemical functional groups commonly found in drugs and drug-like molecules and shows that predictions can be improved by using a semiempirical charge assignment method with an implicit bond charge correction.
Journal ArticleDOI
Improved Docking of Polypeptides with Glide
TL;DR: The optimized polypeptide protocol is most accurate for extended peptides of limited size and number of formal charges, defining a domain of applicability for this approach.
Journal ArticleDOI
Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field
Lingle Wang,Yujie Wu,Yuqing Deng,Byungchan Kim,Levi C. T. Pierce,Goran Krilov,Dmitry Lupyan,Shaughnessy Robinson,Markus K. Dahlgren,Jeremy R. Greenwood,Donna L. Romero,Craig E. Masse,Jennifer L. Knight,Thomas Steinbrecher,Thijs Beuming,Wolfgang Damm,Edward Harder,Woody Sherman,Mark L. Brewer,Ron Wester,Murcko Mark A,Leah L. Frye,Ramy Farid,Teng-Yi Lin,David L. Mobley,William L. Jorgensen,Bruce J. Berne,Richard A. Friesner,Robert Abel +28 more
TL;DR: An approach to designing tight-binding ligands with a substantial reduction in false positives relative to compounds synthesized on the basis of other computational or medicinal chemistry approaches is reported, demonstrating the robustness and broad range of applicability of this approach, which can be used to drive decisions in lead optimization.