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PepCrawler: A Fast RRT-Like Algorithm for High-Resolution Refinement and Binding-Affinity Estimation of Peptide Inhibitors

机译:PepCrawler:一种快速的RRT样算法,用于肽抑制剂的高分辨率提纯和结合亲和力估计

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摘要

Design of protein-protein interaction (PPI) inhibitors is a key challenge in Structural Bioinformatics and Computer Aided Drug Design [1, 2]. Peptides, which partially mimic the interface area of one of the interacting proteins, are natural candidates to form protein-peptide complexes competing with the original PPI [3, 4]. Some inhibitory peptides were designed by deriving a short linear segment from one of the proteins in a given PPI complex [5-9]. These peptides were successfully able to inhibit interactions with the partner protein. The prediction of such complexes is especially challenging due to the high flexibility of peptide conformations.
机译:蛋白质-蛋白质相互作用(PPI)抑制剂的设计是结构生物信息学和计算机辅助药物设计中的关键挑战[1、2]。可以部分模拟相互作用蛋白质之一的界面区域的肽是天然的候选物,可形成与原始PPI竞争的蛋白质-肽复合物[3,4]。通过从给定的PPI复合物中的一种蛋白质衍生出短的线性片段来设计一些抑制性肽[5-9]。这些肽成功地能够抑制与伴侣蛋白的相互作用。由于肽构象的高度灵活性,对此类复合物的预测特别具有挑战性。

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