Literature DB >> 18502122

The effect of different electrostatic potentials on docking accuracy: a case study using DOCK5.4.

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.

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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


  8 in total

1.  Robust scoring functions for protein-ligand interactions with quantum chemical charge models.

Authors:  Jui-Chih Wang; Jung-Hsin Lin; Chung-Ming Chen; Alex L Perryman; Arthur J Olson
Journal:  J Chem Inf Model       Date:  2011-10-07       Impact factor: 4.956

2.  Small molecule inhibitors of histone acetyltransferase Tip60.

Authors:  Jiang Wu; Juxian Wang; Minyong Li; Yutao Yang; Binghe Wang; Y George Zheng
Journal:  Bioorg Chem       Date:  2010-12-07       Impact factor: 5.275

3.  Chemical validation of phosphodiesterase C as a chemotherapeutic target in Trypanosoma cruzi, the etiological agent of Chagas' disease.

Authors:  Sharon King-Keller; Minyong Li; Alyssa Smith; Shilong Zheng; Gurpreet Kaur; Xiaochuan Yang; Binghe Wang; Roberto Docampo
Journal:  Antimicrob Agents Chemother       Date:  2010-07-12       Impact factor: 5.191

4.  In silico binding characteristics between human histamine H1 receptor and antagonists.

Authors:  Xiaojian Wang; Qian Yang; Minyong Li; Dali Yin; Qidong You
Journal:  J Mol Model       Date:  2010-02-24       Impact factor: 1.810

5.  Application of the PM6 semi-empirical method to modeling proteins enhances docking accuracy of AutoDock.

Authors:  Zsolt Bikadi; Eszter Hazai
Journal:  J Cheminform       Date:  2009-09-11       Impact factor: 5.514

6.  Computational studies of the binding site of alpha1A-adrenoceptor antagonists.

Authors:  Minyong Li; Hao Fang; Lupei Du; Lin Xia; Binghe Wang
Journal:  J Mol Model       Date:  2008-07-15       Impact factor: 1.810

7.  The first low microM SecA inhibitors.

Authors:  Weixuan Chen; Ying-ju Huang; Sushma Reddy Gundala; Hsiuchin Yang; Minyong Li; Phang C Tai; Binghe Wang
Journal:  Bioorg Med Chem       Date:  2010-01-06       Impact factor: 3.641

8.  Prediction of ligand binding using an approach designed to accommodate diversity in protein-ligand interactions.

Authors:  Lorraine Marsh
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

  8 in total

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