先进的MD模拟方法揭示了小GTPase信号传导中SH3结构域功能的机制。

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Muslum Yildiz
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引用次数: 0

摘要

由SH3结构域和DLC1蛋白组成的蛋白质复合物在各种细胞过程和疾病(包括癌症)中起着至关重要的作用。这种复合物稳定性的基本动力学,不能通过静态x射线晶体结构来阐明,对理解细胞生理学和关键疾病具有重要意义。我们使用先进的分子动力学,自适应偏力MD (ABF-MD)和传统的MD (cMD)模拟方法对该复合物进行了彻底的研究。径向分布函数(RDF)计算表明,这两种蛋白质之间的相互作用是高度特异性的,因为所有突变都表现为单峰,表明没有额外的相互作用位点。两个关键的相互作用,Glu298-Arg1114和Lys292-Leu1239,被观察到在癌症相关突变中增加的可能性,但在其他已知的破坏复合物形成的突变中没有。使用马尔可夫状态模型(MSM),我们确定了野生型中其他变体中缺失的关键中间产物。关键相互作用残基之间距离偏差的相关分析结果大于0.95,表明相互作用残基之间具有协同性。cMD模拟还显示,在复杂破坏突变中相互作用残基之间的距离值增加,但在癌症相关突变中没有。主成分分析(PCA)进一步揭示了重要构象的变化,表明复杂构象可能涉及重要的不同构象。具体来说,1236-1261残基之间的环区在变体之间的突变中表现出不同的构象。这种独特的构象,特别是在L1267D突变中,导致SH3结构域从结合位点位移,这可能导致复杂的不稳定。此外,PCA分析表明,与野生型相比,复杂破坏突变显著增加了环区探索不同构象的能力。相比之下,与癌症相关的突变V1227M不会显著影响蛋白质的灵活性或其保持稳定构象的能力。结合能分析表明,野生型dcl1复合物具有中等稳定性(-8.87±1.31 kcal/mol),而V1227M变体在其他突变体中结合最稳定(-6.89±1.04 kcal/mol)。相比之下,L1267D、R1114A和R1114E变体的结合亲和力较弱(分别为-5.89±1.01、-3.18±1.04和- 0.58±1.11 kcal/mol),表明复合物稳定性降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced MD Simulation Methods Uncover Mechanisms of SH3 Domain Functions in Small GTPase Signaling.

The protein complex comprising the SH3 domain and DLC1 proteins plays a vital role in various cellular processes and diseases, including cancer. Essential dynamics for the stability of this complex, which cannot be elucidated by static X-ray crystal structures, have significant implications for understanding cellular physiology and critical diseases. We thoroughly investigated this complex using advanced molecular dynamics, Adaptively Biased Force MD (ABF-MD), and conventional MD (cMD) simulation methods. Radial distribution function (RDF) calculations demonstrate that the interaction between the two proteins is highly specific, as all mutations exhibit a single peak, indicating no additional interacting sites. The probabilities of two key interactions, Glu298-Arg1114 and Lys292-Leu1239, were observed to increase in cancer-related mutations but not in other mutations known to disrupt complex formation. Using a Markov State Model (MSM), we identified a key intermediate in the wild type that was absent in other variants. Correlation analysis of deviations in distances among key interacting residues showed values greater than 0.95, indicating cooperativity among interacting residues. cMD simulations also revealed increased distance values between interacting residues in complex-disrupting mutations, but not in cancer-related mutations. Principal component analysis (PCA) further revealed significant conformational changes, indicating important distinct conformations potentially involved in complex formation. Specifically, the loop region between residues 1236-1261 exhibits distinct conformations upon mutations among variants. This distinct conformation, particularly in the L1267D mutation, leads to the displacement of the SH3 domain from the binding site, which may contribute to complex destabilization. Additionally, PCA analysis suggests that complex-disrupting mutations significantly increase the ability of the loop region to explore different conformations compared to the wild type. In contrast, the cancer-related mutation, V1227M, does not significantly affect protein flexibility or its capacity to stay in a stable conformation. The binding energy analysis reveals that the wild-type DLC1 complex has moderate stability (-8.87 ± 1.31 kcal/mol), and the V1227M variant shows the most stable binding (-6.89 ± 1.04 kcal/mol) among other mutants. In contrast, L1267D, R1114A, and R1114E variants exhibit weaker binding affinities (-5.89 ± 1.01, -3.18 ± 1.04, and - 0.58 ± 1.11 kcal/mol, respectively), indicating reduced complex stability.

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来源期刊
Proteins-Structure Function and Bioinformatics
Proteins-Structure Function and Bioinformatics 生物-生化与分子生物学
CiteScore
5.90
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: PROTEINS : Structure, Function, and Bioinformatics publishes original reports of significant experimental and analytic research in all areas of protein research: structure, function, computation, genetics, and design. The journal encourages reports that present new experimental or computational approaches for interpreting and understanding data from biophysical chemistry, structural studies of proteins and macromolecular assemblies, alterations of protein structure and function engineered through techniques of molecular biology and genetics, functional analyses under physiologic conditions, as well as the interactions of proteins with receptors, nucleic acids, or other specific ligands or substrates. Research in protein and peptide biochemistry directed toward synthesizing or characterizing molecules that simulate aspects of the activity of proteins, or that act as inhibitors of protein function, is also within the scope of PROTEINS. In addition to full-length reports, short communications (usually not more than 4 printed pages) and prediction reports are welcome. Reviews are typically by invitation; authors are encouraged to submit proposed topics for consideration.
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