BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China; Center for Quantitative Biology, Peking University, Beijing 100871, China.
Drug Discov Today. 2019 Jan;24(1):217-227. doi: 10.1016/j.drudis.2018.09.017. Epub 2018 Sep 29.
Intrinsically disordered proteins or intrinsically disordered regions (IDPs or IDRs) are those that do not fold into defined tertiary structures under physiological conditions. Given their prevalence in various diseases, IDPs are attractive therapeutic targets. However, because of the dynamic nature of the IDP structure, conventional structure-based drug design methods cannot be directly applied. Thanks to recent progress in understanding the mechanisms underlying IDP and ligand interactions, computational strategies for IDP-targeted rational drug discovery are emerging. Here, we summarize recent developments in computational IDP drug design strategies and their successful applications, analyze the typical properties of reported IDP-binding compounds (iIDPs), and discuss the major challenges ahead as well as possible solutions.
无规卷曲蛋白质或无规卷曲区域(IDPs 或 IDRs)是指在生理条件下不能折叠成明确的三级结构的蛋白质或区域。鉴于它们在各种疾病中的普遍性,IDPs 是有吸引力的治疗靶点。然而,由于 IDP 结构的动态性质,传统的基于结构的药物设计方法不能直接应用。由于最近在理解 IDP 和配体相互作用的机制方面取得了进展,针对 IDP 靶点的合理药物发现的计算策略正在出现。在这里,我们总结了计算 IDP 药物设计策略的最新进展及其成功应用,分析了已报道的 IDP 结合化合物(iIDPs)的典型特性,并讨论了未来的主要挑战以及可能的解决方案。