虚拟筛选
对接(动物)
计算机科学
蛋白质-配体对接
软件
药物发现
数据挖掘
计算生物学
机器学习
生物信息学
生物
医学
操作系统
护理部
标识
DOI:10.2174/138620709787581666
摘要
Virtual (database) screening (VS) of molecules promises to accelerate the discovery of new drugs and reduce costs by identifying molecules with high probabilities of binding to a target receptor. The large amount of available protein X-ray crystal structures, together with the development of more effective homology modelling techniques, has led recently to a steep increase in docking-based VS studies. This approach needs computational fitting of molecules into a receptor active site using advanced algorithms, followed by the scoring and ranking of these molecules to identify potential leads. In this review, the main published docking-based VS studies developed over the last eight years are investigated, and details are provided about the software used, the results achieved and the novel methods employed.
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