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利用弹性网络模型探索蛋白质家族的展开途径。

Exploring the unfolding pathways of protein families using Elastic Network Model.

机构信息

Department of Physics, Birla Institute of Technology and Science, Pilani, Rajasthan, 333031, India.

出版信息

Sci Rep. 2024 Oct 13;14(1):23905. doi: 10.1038/s41598-024-75436-8.

Abstract

We explore how a protein's native structure determines its unfolding process. We examine how the local structural features, like shear, and the global structural properties, like the number of soft modes, change during unfolding. Simulations are performed using a Gaussian Network Model (GNM) with bond breaking for both thermal and force-induced unfolding scenarios. We find that unfolding starts in areas of high shear in the native structure and progressively spreads to the low shear regions. Interestingly, analysis of single domain protein families (Chymotrypsin inhibitor and Barnase) reveal that proteins with distinct unfolding pathways exhibit divergent behavior of the number of soft modes during unfolding. This suggests that the number of soft modes might be a valuable tool for understanding thermal unfolding pathways. Additionally, we found a strong link between a protein's overall structural similarity (TM-score) and its unfolding pathways, highlighting the importance of the native structure in determining how a protein unfolds.

摘要

我们探讨了蛋白质的天然结构如何决定其展开过程。我们研究了局部结构特征(如剪切)和全局结构特性(如软模式数量)在展开过程中的变化。使用带有键断裂的高斯网络模型(GNM)对热和力诱导展开情况进行了模拟。我们发现展开从天然结构中的高剪切区域开始,并逐渐扩散到低剪切区域。有趣的是,对单结构域蛋白家族(糜蛋白酶抑制剂和 Barnase)的分析表明,具有不同展开途径的蛋白质在展开过程中软模式数量表现出不同的行为。这表明软模式数量可能是理解热展开途径的有用工具。此外,我们发现蛋白质整体结构相似性(TM 分数)与其展开途径之间存在很强的联系,这突出了天然结构在确定蛋白质如何展开方面的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7932/11471764/ad99d4e36834/41598_2024_75436_Fig1_HTML.jpg

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