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Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches

机译:蛋白质-配体,蛋白质-蛋白质和多组分蛋白质相互作用中的灵活性和结合亲和力:当前计算方法的局限性

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摘要

The recognition process between a protein and a partner represents a significant theoretical challenge. In silico structure-based drug design carried out with nothing more than the three-dimensional structure of the protein has led to the introduction of many compounds into clinical trials and numerous drug approvals. Central to guiding the discovery process is to recognize active among non-active compounds. While large-scale computer simulations of compounds taken from a library (virtual screening) or designed de novo are highly desirable in the post-genomic area, many technical problems remain to be adequately addressed. This article presents an overview and discusses the limits of current computational methods for predicting the correct binding pose and accurate binding affinity. It also presents the performances of the most popular algorithms for exploring binary and multi-body protein interactions.
机译:蛋白质和伴侣之间的识别过程代表了重大的理论挑战。仅基于蛋白质的三维结构进行的基于计算机模拟的基于药物的结构设计就导致将许多化合物引入临床试验并获得了许多药物批准。指导发现过程的中心是在非活性化合物中识别活性。尽管在后基因组学领域对从文库(虚拟筛选)或从头设计的化合物进行大规模计算机模拟是非常理想的,但仍有许多技术问题尚待充分解决。本文提供了概述,并讨论了用于预测正确的绑定姿势和准确的绑定亲和力的当前计算方法的局限性。它还介绍了探索二进制和多体蛋白质相互作用的最流行算法的性能。

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