虚拟筛选
药物发现
计算生物学
激酶
变构调节
计算机科学
药品
对接(动物)
生物信息学
化学
生物
医学
药理学
生物化学
酶
护理部
作者
Dávid Bajusz,György G. Ferenczy,György M Keserű
标识
DOI:10.2174/1568026617666170224121313
摘要
Protein kinases are one of the most targeted protein families in current drug discovery pipelines. They are implicated in many oncological, inflammatory, CNS-related and other clinical indications. Virtual screening is a computational technique with a diverse set of available tools that has been shown many times to provide novel starting points for kinase-directed drug discovery. This review starts with a concise overview of the function, structural features and inhibitory mechanisms of protein kinases. In addition to briefly reviewing the practical aspects of structure-based virtual screenings, we discuss several case studies to illustrate the state of the art in the virtual screening for type I, type II, allosteric (type III-V) and covalent (type VI) kinase inhibitors. With this review, we strive to provide a summary of the latest advances in the structure-based discovery of novel kinase inhibitors, as well as a practical tool to anyone who wishes to embark on such an endeavor. Keywords: Drug discovery, Kinase, Structure-based virtual screening, Inhibitor, Docking, DFG motif, Activation segment, hinge, Covalent docking.
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