ConfGen: a conformational search method for efficient generation of bioactive conformers
- PMID: 20373803
- DOI: 10.1021/ci100015j
ConfGen: a conformational search method for efficient generation of bioactive conformers
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.
Similar articles
-
Drug-like bioactive structures and conformational coverage with the LigPrep/ConfGen suite: comparison to programs MOE and catalyst.J Chem Inf Model. 2010 May 24;50(5):822-39. doi: 10.1021/ci100026x. J Chem Inf Model. 2010. PMID: 20423098
-
Novel method for the evaluation of 3D conformation generators.J Chem Inf Model. 2009 Jun;49(6):1377-88. doi: 10.1021/ci800393w. J Chem Inf Model. 2009. PMID: 19435329
-
Analysis and optimization of structure-based virtual screening protocols (1): exploration of ligand conformational sampling techniques.J Mol Graph Model. 2003 Sep;22(1):23-30. doi: 10.1016/S1093-3263(03)00123-2. J Mol Graph Model. 2003. PMID: 12798388
-
Computer design of bioactive compounds based on 3-D properties of ligands.NIDA Res Monogr. 1993;134:84-102. NIDA Res Monogr. 1993. PMID: 8289889 Review.
-
Conformation Generation: The State of the Art.J Chem Inf Model. 2017 Aug 28;57(8):1747-1756. doi: 10.1021/acs.jcim.7b00221. Epub 2017 Jul 31. J Chem Inf Model. 2017. PMID: 28682617 Review.
Cited by
-
Effects of some anti-ulcer and anti-inflammatory natural products on cyclooxygenase and lipoxygenase enzymes: insights from in silico analysis.In Silico Pharmacol. 2024 Nov 2;12(2):97. doi: 10.1007/s40203-024-00269-2. eCollection 2024. In Silico Pharmacol. 2024. PMID: 39498163
-
Novel Histone Deacetylase Inhibitors and HIV-1 Latency-Reversing Agents Identified by Large-Scale Virtual Screening.Front Pharmacol. 2020 Jun 17;11:905. doi: 10.3389/fphar.2020.00905. eCollection 2020. Front Pharmacol. 2020. PMID: 32625097 Free PMC article.
-
Binding of SARS-CoV Covalent Non-Covalent Inhibitors to the SARS-CoV-2 Papain-Like Protease and Ovarian Tumor Domain Deubiquitinases.Biomolecules. 2021 May 28;11(6):802. doi: 10.3390/biom11060802. Biomolecules. 2021. PMID: 34071582 Free PMC article.
-
Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining.Brief Bioinform. 2024 May 23;25(4):bbae340. doi: 10.1093/bib/bbae340. Brief Bioinform. 2024. PMID: 38990515 Free PMC article.
-
Effective Protein-Ligand Docking Strategy via Fragment Reuse and a Proof-of-Concept Implementation.ACS Omega. 2022 Aug 19;7(34):30265-30274. doi: 10.1021/acsomega.2c03470. eCollection 2022 Aug 30. ACS Omega. 2022. PMID: 36061673 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
