ConfGen: A Conformational Search Method for Efficient Generation of Bioactive Conformers

We describe the methodology, parametrization, and application of a conformational search method, called ConfGen, designed to efficiently generate bioactive conformers. We define efficiency as the ability to generate a bioactive conformation within a small total number of conformations using a reason...

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Veröffentlicht in:Journal of chemical information and modeling 2010-04, Vol.50 (4), p.534-546
Hauptverfasser: Watts, K. Shawn, Dalal, Pranav, Murphy, Robert B, Sherman, Woody, Friesner, Rich A, Shelley, John C
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container_end_page 546
container_issue 4
container_start_page 534
container_title Journal of chemical information and modeling
container_volume 50
creator Watts, K. Shawn
Dalal, Pranav
Murphy, Robert B
Sherman, Woody
Friesner, Rich A
Shelley, John C
description We describe the methodology, parametrization, and application of a conformational search method, called ConfGen, designed to efficiently generate bioactive conformers. We define efficiency as the ability to generate a bioactive conformation within a small total number of conformations using a reasonable amount of computer time. The method combines physics-based force field calculations with empirically derived heuristics designed to achieve efficient searching and prioritization of the ligand’s conformational space. While many parameter settings are supported, four modes spanning a range of speed and quality trades-offs are defined and characterized. The validation set used to test the method is composed of ligands from 667 crystal structures covering a broad array of target and ligand classes. With the fastest mode, ConfGen uses an average of 0.5 s per ligand and generates only 14.3 conformers per ligand, at least one of which lies within 2.0 Å root-mean-squared deviation of the crystal structure for 96% of the ligands. The most computationally intensive mode raises this recovery rate to 99%, while taking 8 s per ligand. Combining multiple search modes to “fill-in” holes in the conformation space or energy minimizing using an all-atom force field each lead to improvements in the recovery rates at higher resolutions. Overall, ConfGen is at least as good as competing programs at high resolution and demonstrates higher efficiency at resolutions sufficient for many downstream applications, such as pharmacophore modeling.
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source ACS Publications; MEDLINE
subjects Atoms & subatomic particles
Biological and medical sciences
Computational Biology
Computational Chemistry
Crystal structure
Drug Evaluation, Preclinical
General pharmacology
Heuristic
Ligands
Medical sciences
Models, Molecular
Molecular Conformation
Pharmacology. Drug treatments
Physicochemical properties. Structure-activity relationships
Physics
Software
Time Factors
title ConfGen: A Conformational Search Method for Efficient Generation of Bioactive Conformers
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