DockOpt: A Tool for Automatic Optimization of Docking Models.

ABSTRACT: Molecular docking is a widely used technique for leveraging protein structure for ligand discovery, but it remains difficult to utilize due to limitations that have not been adequately addressed. Despite some progress toward automation, docking still requires expert guidance, hindering its adoption by a broader range of investigators. To make docking more accessible, we developed a new utility called DockOpt, which automates the creation, evaluation, and optimization of docking models prior to their deployment in large-scale prospective screens. DockOpt outperforms our previous automated pipeline across all 43 targets in the DUDE-Z benchmark data set, and the generated models for 84% of targets demonstrate sufficient enrichment to warrant their use in prospective screens, with normalized L

SUBMITTER: Knight IS 

PROVIDER: S-EPMC10865354 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature