对接(动物)
虚拟筛选
药物发现
蛋白质-配体对接
计算机科学
计算生物学
蒙特卡罗方法
生物信息学
生物
数学
医学
统计
护理部
作者
Xuan-Yu Meng,Hong‐Xing Zhang,Mihaly Mezei,Meng Cui
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science Publishers]
日期:2011-06-01
卷期号:7 (2): 146-157
被引量:3580
标识
DOI:10.2174/157340911795677602
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. Keywords: Conformational sampling, scoring, flexible protein-ligand docking, backbone flexibility, local move Monte Carlo sampling, molecular docking, drug discovery, virtual screening, high throughput screening, QSAR
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