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Challenges Applications and Recent Advances of Protein-Ligand Docking in Structure-Based Drug Design

机译:蛋白质-配体对接在基于结构的药物设计中的挑战应用和最新进展

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摘要

The docking methods used in structure-based virtual database screening offer the ability to quickly and cheaply estimate the affinity and binding mode of a ligand for the protein receptor of interest, such as a drug target. These methods can be used to enrich a database of compounds, so that more compounds that are subsequently experimentally tested are found to be pharmaceutically interesting. In addition, like all virtual screening methods used for drug design, structure-based virtual screening can focus on curated libraries of synthesizable compounds, helping to reduce the expense of subsequent experimental verification. In this review, we introduce the protein-ligand docking methods used for structure-based drug design and other biological applications. We discuss the fundamental challenges facing these methods and some of the current methodological topics of interest. We also discuss the main approaches for applying protein-ligand docking methods. We end with a discussion of the challenging aspects of evaluating or benchmarking the accuracy of docking methods for their improvement, and discuss future directions.
机译:在基于结构的虚拟数据库筛选中使用的对接方法提供了快速而廉价地估算配体对目标蛋白质受体(例如药物靶标)的亲和力和结合模式的能力。这些方法可用于丰富化合物的数据库,从而发现更多的随后经过实验测试的化合物具有药物学意义。此外,像用于药物设计的所有虚拟筛选方法一样,基于结构的虚拟筛选可以专注于可合成化合物的精选文库,从而有助于减少后续实验验证的费用。在这篇综述中,我们介绍了用于基于结构的药物设计和其他生物学应用的蛋白质-配体对接方法。我们讨论了这些方法面临的基本挑战以及当前感兴趣的一些方法论主题。我们还将讨论应用蛋白质-配体对接方法的主要方法。我们最后讨论了评估或基准化对接方法的准确性以进行改进的挑战性方面,并讨论了未来的方向。

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