Dynamical features of smooth muscle actin pathological mutants: The arginine-257(258)-Cysteine cases

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
F. Chiappori , F. Di Palma , A. Cavalli , M. de Rosa , F. Viti
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引用次数: 0

Abstract

The R257(8)C mutation in smooth muscle actins, ACTG2 and ACTA2, is the most frequent cause of severe genetic diseases: namely, visceral myopathy, and familial thoracic aortic aneurysms and dissections, which respectively, stem from impairment of the visceral and vascular muscle. The molecular mechanisms underlying such pathologies are not fully elucidated. In the absence of experimental data of WT and mutated actins in their monomeric (g-) and filamentous (f-) form, molecular dynamics can shed light on the role of the R257(8)C in protein structure and dynamics. Analysis of g-actins does not show significant differences between WT and mutated proteins suggesting the correct monomers folding. On the contrary, mutated filaments are destabilized. Subunits of R257C f-ACTG2 adopt non optimal angles and in R258C f-ACTA2 we observe depolymerization already in the simulated time frame. Overall, our data points to a crucial role of residue R257(8) in actin structure and dynamics, in particular when the protein assembles into the filament.
平滑肌肌动蛋白病理突变的动力学特征:精氨酸-257(258)-半胱氨酸病例
平滑肌肌动蛋白ACTG2和ACTA2的R257(8)C突变是严重遗传性疾病的最常见原因:即内脏肌病和家族性胸主动脉瘤和夹层,它们分别源于内脏肌和血管肌的损伤。这些病理的分子机制尚未完全阐明。在缺乏WT和突变的肌动蛋白单体(g-)和丝状(f-)形式的实验数据的情况下,分子动力学可以揭示R257(8)C在蛋白质结构和动力学中的作用。g-actin的分析没有显示WT和突变蛋白之间的显著差异,表明正确的单体折叠。相反,突变的细丝是不稳定的。R257C - f-ACTG2的亚基采用非最优角度,在R258C - f-ACTG2中,我们已经在模拟时间框架内观察到解聚。总的来说,我们的数据指出残基R257(8)在肌动蛋白结构和动力学中的关键作用,特别是当蛋白质组装成细丝时。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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