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

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Journal of Chemical Information and Modeling (Impact Factor: 4.07). 04/2010; 50(4):534-46. DOI: 10.1021/ci100015j
Source: PubMed

ABSTRACT 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 A 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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Available from: Woody Sherman, Jul 30, 2015
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    • "Compounds 1–14 (Table 1) with L-leucine uptake inhibition >50% were assigned as active whereas compounds 23–28 with L-leucine uptake inhibition 0% were considered to be inactive. Multiple conformers were generated for the compounds using ConfGen method (Schrödinger LLC; Watts et al., 2010) and 500 minimization steps. The ligands were superimposed with each other and aligned with respect to alternative feature mappings. "
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