Rational drug design targeting intrinsically disordered proteins

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2023-08-26 DOI:10.1002/wcms.1685
Hanping Wang, Ruoyao Xiong, Luhua Lai
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引用次数: 1

Abstract

Intrinsically disordered proteins (IDPs) are proteins that perform important biological functions without well-defined structures under physiological conditions. IDPs can form fuzzy complexes with other molecules, participate in the formation of membraneless organelles, and function as hubs in protein–protein interaction networks. The malfunction of IDPs causes major human diseases. However, drug design targeting IDPs remains challenging due to their highly dynamic structures and fuzzy interactions. Turning IDPs into druggable targets provides a great opportunity to extend the druggable target-space for novel drug discovery. Integrative structural biology approaches that combine information derived from computational simulations, artificial intelligence/data-driven analysis and experimental studies have been used to uncover the dynamic structures and interactions of IDPs. An increasing number of ligands that directly bind IDPs have been found either by target-based experimental and computational screening or phenotypic screening. Along with the understanding of IDP binding with its partners, structure-based drug design strategies, especially conformational ensemble-based computational ligand screening and computer-aided ligand optimization algorithms, have greatly accelerated the development of IDP ligands. It is inspiring that several IDP-targeting small-molecule and peptide drugs have advanced into clinical trials. However, new computational methods need to be further developed for efficiently discovering and optimizing specific and potent ligands for the vast number of IDPs. Along with the understanding of their dynamic structures and interactions, IDPs are expected to become valuable treasure of drug targets.

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针对内在无序蛋白质的合理药物设计
本质无序蛋白是指在生理条件下没有明确结构而发挥重要生物功能的蛋白质。IDP可以与其他分子形成模糊复合物,参与无膜细胞器的形成,并在蛋白质-蛋白质相互作用网络中发挥枢纽作用。国内流离失所者的机能失常导致了重大的人类疾病。然而,针对国内流离失所者的药物设计仍然具有挑战性,因为它们具有高度动态的结构和模糊的相互作用。将IDPs转化为可药用靶标为新药发现提供了扩展可药用靶标空间的大好机会。综合结构生物学方法结合了计算模拟、人工智能/数据驱动分析和实验研究中获得的信息,已被用于揭示国内流离失所者的动态结构和相互作用。通过基于靶点的实验和计算筛选或表型筛选,已经发现越来越多的直接结合IDPs的配体。随着对IDP与其伴侣结合的理解,基于结构的药物设计策略,特别是基于构象集成的计算配体筛选和计算机辅助配体优化算法,极大地加速了IDP配体的发展。令人鼓舞的是,一些针对小分子和肽的IDP药物已进入临床试验。然而,需要进一步开发新的计算方法,以有效地发现和优化大量IDP的特异性和有效配体。随着对其动态结构和相互作用的了解,国内流离失所者有望成为毒品目标的宝贵财富。本文分类如下:
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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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