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Structure-based Virtual Screening Approaches in Kinase-directed Drug Discovery

机译:基于结构的虚拟筛选方法在激酶导向药物发现中

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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.
机译:蛋白激酶是当前药物发现管道中最靶向的蛋白质家族之一。 它们涉及许多肿瘤,炎症,CNS相关和其他临床适应症。 虚拟筛选是一种具有多样化的可用工具的计算技术,这些工具已经多次显示,以为激酶定向药物发现提供新的起始点。 本次审查开始简要概述蛋白激酶的功能,结构特征和抑制机制。 除了简要审查基于结构的虚拟筛查的实际方面之外,我们讨论了几个案例研究,以说明I II型,II型,Aβ-型(III-V)和共价(vi型)的虚拟筛选中的技术 )激酶抑制剂。 有了这篇综述,我们努力提供基于结构的新型激酶抑制剂的最新进展的摘要,以及希望任何希望踏上这种努力的人的实用工具。

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