Protein-Ligand Docking Using Mutually Orthogonal Latin Squares (MOLSDOCK)

被引:9
|
作者
Viji, S. Nehru [1 ]
Prasad, P. Arun [1 ]
Gautham, N. [1 ]
机构
[1] Univ Madras, CAS Crystallog & Biophys, Madras 600025, Tamil Nadu, India
关键词
MOLECULAR-FORCE FIELD; FLEXIBLE DOCKING; GLOBAL OPTIMIZATION; GENETIC ALGORITHM; AUTOMATED DOCKING; SCORING FUNCTIONS; ENERGY FUNCTION; DRUG DESIGN; SEARCH; RECOGNITION;
D O I
10.1021/ci900332a
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The theoretical prediction of the association of a flexible ligand with a protein receptor requires efficient sampling of the conformational space of the ligand. Several docking methodologies tire Currently available, We have proposed a docking technique that performs well at low computational cost. The method uses mutually orthogonal Latin squares to efficiently sample the docking space. A variant of the mean field technique is used to analyze this sample to arrive Lit the optimum. The method has been previously applied to search through both the conformational space of a peptide as well its docking space. Here we extend this method to Simultaneously identify both the low energy conformation as well as a high scoring docking mode for the small organic ligand molecules. Application of the method to 45 protein-ligand complexes, in which the number of rotatable torsions varies from 2 to 19, and comparisons with AutoDock 4.0, showed that the method works well.
引用
收藏
页码:2687 / 2694
页数:8
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