Molecular Docking: A Powerful Approach for Structure-Based Drug Discovery

被引:27
|
作者
Meng, Xuan-Yu [1 ,2 ]
Zhang, Hong-Xing [1 ]
Mezei, Mihaly [3 ]
Cui, Meng [2 ]
机构
[1] Jilin Univ, Inst Theoret Chem, State Key Lab Theoret & Computat Chem, Changchun 130023, Peoples R China
[2] Virginia Commonwealth Univ, Dept Physiol & Biophys, Richmond, VA 23298 USA
[3] Mt Sinai Sch Med, Dept Struct & Chem Biol, New York, NY 10029 USA
关键词
Conformational sampling; scoring; flexible protein-ligand docking; backbone flexibility; local move Monte Carlo sampling; PROTEIN-LIGAND INTERACTIONS; FREE-ENERGY CALCULATIONS; DE-NOVO DESIGN; EMPIRICAL SCORING FUNCTION; AUTOMATED DOCKING; BINDING-SITES; FLEXIBLE LIGANDS; CONFORMATIONAL-CHANGES; GENETIC ALGORITHM; FORCE-FIELD;
D O I
暂无
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Molecular docking has become an increasingly important tool for drug discovery. In this review, we present a brief introduction of the available molecular docking methods, and their development and applications in drug discovery. The relevant basic theories, including sampling algorithms and scoring functions, are summarized. The differences in and performance of available docking software are also discussed. Flexible receptor molecular docking approaches, especially those including backbone flexibility in receptors, are a challenge for available docking methods. A recently developed Local Move Monte Carlo (LMMC) based approach is introduced as a potential solution to flexible receptor docking problems. Three application examples of molecular docking approaches for drug discovery are provided.
引用
收藏
页码:146 / 157
页数:12
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