A Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein-Ligand Binding
作者
Edward B. Miller,Robert C. Murphy,Dan Sindhikara,Ken Borrelli,Matthew J. Grisewood,Fabio Ranalli,S. Dixon,Steven V. Jerome,Nicholas A. Boyles,Tyler Day,Phani Ghanakota,Sayan Mondal,Salma B. Rafi,Dawn M. Troast,Robert Abel,Richard A. Friesner
出处
期刊:日期:2020-03-16被引量:15
标识
DOI:10.26434/chemrxiv.11983845.v1
摘要
We present a reliable and accurate solution to the induced fit docking problem for protein-ligand binding by combining ligand-based pharmacophore docking (Phase), rigid receptor docking (Glide), and protein structure prediction (Prime) with explicit solvent molecular dynamics simulations. We provide an in-depth description of our novel methodology and present results for 41 targets consisting of 415 cross-docking cases divided amongst a training and test set. For both the training and test-set, we compute binding modes with a ligand-heavy atom RMSD to within 2.5 Å or better in over 90% of cross-docking cases compared to less than 70% of cross-docking cases using our previously published induced-fit docking algorithm and less than 41% using rigid receptor docking. Applications of the predicted ligand-receptor structure in free energy perturbation calculations is demonstrated for both public data and in active drug discovery projects, both retrospectively and prospectively.