| Literature DB >> 33779166 |
Edward B Miller1, Robert B Murphy2, Daniel Sindhikara1, Kenneth W Borrelli1, Matthew J Grisewood1, Fabio Ranalli1, Steven L Dixon1, Steven Jerome2, Nicholas A Boyles3, Tyler Day1, Phani Ghanakota1, Sayan Mondal1, Salma B Rafi3, Dawn M Troast4, Robert Abel1, Richard A Friesner5.
Abstract
We present a reliable and accurate solution to the induced fit docking problem for protein-ligand binding by combining ligand-based pharmacophore docking, rigid receptor docking, and protein structure prediction with explicit solvent molecular dynamics simulations. This novel methodology in detailed retrospective and prospective testing succeeded to determine protein-ligand binding modes with a root-mean-square deviation within 2.5 Å in over 90% of cross-docking cases. We further demonstrate these predicted ligand-receptor structures were sufficiently accurate to prospectively enable predictive structure-based drug discovery for challenging targets, substantially expanding the domain of applicability for such methods.Year: 2021 PMID: 33779166 DOI: 10.1021/acs.jctc.1c00136
Source DB: PubMed Journal: J Chem Theory Comput ISSN: 1549-9618 Impact factor: 6.006