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紧密无序状态在内在无序蛋白质模糊相互作用中的重要性。

The importance of the compact disordered state in the fuzzy interactions between intrinsically disordered proteins.

作者信息

Wang Dan, Wu Shaowen, Wang Dongdong, Song Xingyu, Yang Maohua, Zhang Wolun, Huang Shaohui, Weng Jingwei, Liu Zhijun, Wang Wenning

机构信息

Department of Chemistry, Multiscale Research Institute of Complex Systems and Institute of Biomedical Sciences, Fudan University Shanghai 200438 China

Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences Guangzhou 510640 Guangdong China.

出版信息

Chem Sci. 2022 Jan 28;13(8):2363-2377. doi: 10.1039/d1sc06825c. eCollection 2022 Feb 23.

DOI:10.1039/d1sc06825c
PMID:35310482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8864705/
Abstract

The intrinsically disordered C-terminal domain (CTD) of protein 4.1G is able to specifically bind a 26-residue intrinsically disordered region of NuMA, forming a dynamic fuzzy complex. As one of a few cases of extremely fuzzy interactions between two intrinsically disordered proteins/regions (IDPs/IDRs) without induced folding, the principle of the binding is unknown. Here, we combined experimental and computational methods to explore the detailed mechanism of the interaction between 4.1G-CTD and NuMA. MD simulations suggest that the kinetic hub states in the structure ensemble of 4.1G-CTD are favorable in the fuzzy complex. The feature of these hub states is that the binding 'hot spot' motifs βA and βB exhibit β strand propensities and are well packed to each other. The binding between 4.1G-CTD and NuMA is disrupted at low pH, which changes the intramolecular packing of 4.1G-CTD and weakens the packing between βA and βB motifs. Low pH conditions also lead to increased hydrodynamic radius and acceleration of backbone dynamics of 4.1G-CTD. All these results underscore the importance of tertiary structural arrangements and overall compactness of 4.1G-CTD in its binding to NuMA, the compact disordered state of 4.1G-CTD is crucial for binding. Different from the short linear motifs (SLiMs) that are often found to mediate IDP interactions, 4.1G-CTD functions as an intrinsically disordered domain (IDD), which is a functional and structural unit similar to conventional protein domains. This work sheds light on the molecular recognition mechanism of IDPs/IDRs and expands the conventional structure-function paradigm in protein biochemistry.

摘要

蛋白质4.1G的内在无序C末端结构域(CTD)能够特异性结合核有丝分裂器蛋白(NuMA)的一段含26个残基的内在无序区域,形成一个动态模糊复合物。作为两个内在无序蛋白/区域(IDP/IDR)之间极少数无诱导折叠的极端模糊相互作用的例子之一,这种结合的原理尚不清楚。在此,我们结合实验和计算方法来探索4.1G-CTD与NuMA之间相互作用的详细机制。分子动力学(MD)模拟表明,4.1G-CTD结构集合中的动力学枢纽状态有利于形成模糊复合物。这些枢纽状态的特征是,结合“热点”基序βA和βB表现出β链倾向,并且彼此紧密堆积。4.1G-CTD与NuMA之间的结合在低pH值下会被破坏,这会改变4.1G-CTD的分子内堆积,并削弱βA和βB基序之间的堆积。低pH条件还会导致4.1G-CTD的流体动力学半径增加和主链动力学加速。所有这些结果都强调了4.1G-CTD的三级结构排列和整体紧凑性在其与NuMA结合中的重要性,4.1G-CTD的紧凑无序状态对于结合至关重要。与通常介导IDP相互作用的短线性基序(SLiM)不同,4.1G-CTD作为一个内在无序结构域(IDD)发挥作用,这是一个类似于传统蛋白质结构域的功能和结构单元。这项工作揭示了IDP/IDR的分子识别机制,并扩展了蛋白质生物化学中的传统结构-功能范式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/1e788e9ba715/d1sc06825c-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/8f541f8a2e92/d1sc06825c-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/ac6b39ccb64f/d1sc06825c-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/e00e5ea38cd2/d1sc06825c-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/1d9fa576a87a/d1sc06825c-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/1e788e9ba715/d1sc06825c-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/8f541f8a2e92/d1sc06825c-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/ac6b39ccb64f/d1sc06825c-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/e00e5ea38cd2/d1sc06825c-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/1d9fa576a87a/d1sc06825c-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52f2/8864705/1e788e9ba715/d1sc06825c-f5.jpg

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3
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Protein Sci. 2025 Jan;34(1):e5240. doi: 10.1002/pro.5240.
4
Recent Advances in Mass Spectrometry-Based Protein Interactome Studies.基于质谱的蛋白质相互作用组研究的最新进展
Mol Cell Proteomics. 2025 Jan;24(1):100887. doi: 10.1016/j.mcpro.2024.100887. Epub 2024 Nov 27.
5
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6
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7
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