IDPs的过渡态构象:在人胰淀素(hIAPP)中的应用。

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
Nicholas A Carton, Nicolae-Viorel Buchete
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引用次数: 0

摘要

人胰岛淀粉样多肽(hIAPP,又称胰淀素)聚集参与2型糖尿病的发病机制,但目前尚无有效的抑制原纤维形成的抑制剂。在这项研究中,我们研究了hIAPP单体在不同分子环境(即脂质,水和淀粉样蛋白原纤维)中的构象转变,以探索关键特征,如淀粉化途径中复杂自由能景观的过渡态。利用单体胰淀素的无偏分子动力学模拟,我们应用相对RMSD值作为推定的反应坐标来识别和评估单体胰淀素构象的过渡态系综(TSE)成员。TSE构象是高价值的药物靶点,位于易于聚集和富含螺旋的参考状态之间的概率中点。使用相对RMSD,我们验证了过渡状态候选人作为TSE成员,并确定了其他动力学相似的amylin构象。分段级分析提供了沿着聚合路径的早期分支的洞察力。这些发现建立了相对RMSD作为表征胰淀素和其他内在无序蛋白转变的有用参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transition State Conformations for IDPs: Application to Human Amylin (hIAPP).

Human islet amyloid polypeptide (hIAPP, a.k.a. amylin) aggregation is involved in the pathogenesis of type 2 diabetes, yet no effective inhibitors of fibril formation are currently available. In this study, we examine the conformational transitions of hIAPP monomers across distinct molecular environments (i.e., lipids, water, and amyloid fibrils), to probe key features, such as transition states across the complex free energy landscape of the amyloidization pathway. Using unbiased molecular dynamics simulations of monomeric amylin, we apply relative RMSD values as putative reaction coordinates to identify and assess transition state ensemble (TSE) membership of monomeric amylin conformations. TSE conformations are high-value drug targets located at the probabilistic midpoint between aggregation-prone and helical-rich reference states. Using relative RMSD, we validate a transition state candidate as a TSE member and identify additional kinetically similar amylin conformations. Segment-level analysis offers insight into early stage branching along the aggregation pathway. These findings establish relative RMSD as a useful parameter for characterizing transitions in amylin and other intrinsically disordered proteins.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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