| Literature DB >> 18502122 |
Keng-Chang Tsai1, Sheng-Hung Wang, Nai-Wan Hsiao, Minyong Li, Binghe Wang.
Abstract
As a commonly used structure-based approach for virtual screening, molecular design and lead optimization, molecular docking can search the preferred orientation and conformation of a ligand for its optimal binding to a receptor or enzyme active site. In doing so, selecting an appropriate method to calculate the electrostatic potentials is critical. In the current report, nine different semi-empirical and empirical methods, including AM1, AM1-BCC, Del-Re, MMFF, Gasteiger, Hückel, Gasteiger-Hückel, Pullman and formal charges were investigated for their performance on the prediction of docking poses using the DOCK5.4 program. The results demonstrated that the AM1-BCC charges had the highest success rate.Entities:
Mesh:
Substances:
Year: 2008 PMID: 18502122 DOI: 10.1016/j.bmcl.2008.05.026
Source DB: PubMed Journal: Bioorg Med Chem Lett ISSN: 0960-894X Impact factor: 2.823