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通过对球状蛋白质的分析洞察淀粉样纤维的结构。

Insight into the structure of amyloid fibrils from the analysis of globular proteins.

作者信息

Trovato Antonio, Chiti Fabrizio, Maritan Amos, Seno Flavio

机构信息

Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Unità di Padova, Padua, Italy.

出版信息

PLoS Comput Biol. 2006 Dec 15;2(12):e170. doi: 10.1371/journal.pcbi.0020170. Epub 2006 Oct 30.

Abstract

The conversion from soluble states into cross-beta fibrillar aggregates is a property shared by many different proteins and peptides and was hence conjectured to be a generic feature of polypeptide chains. Increasing evidence is now accumulating that such fibrillar assemblies are generally characterized by a parallel in-register alignment of beta-strands contributed by distinct protein molecules. Here we assume a universal mechanism is responsible for beta-structure formation and deduce sequence-specific interaction energies between pairs of protein fragments from a statistical analysis of the native folds of globular proteins. The derived fragment-fragment interaction was implemented within a novel algorithm, prediction of amyloid structure aggregation (PASTA), to investigate the role of sequence heterogeneity in driving specific aggregation into ordered self-propagating cross-beta structures. The algorithm predicts that the parallel in-register arrangement of sequence portions that participate in the fibril cross-beta core is favoured in most cases. However, the antiparallel arrangement is correctly discriminated when present in fibrils formed by short peptides. The predictions of the most aggregation-prone portions of initially unfolded polypeptide chains are also in excellent agreement with available experimental observations. These results corroborate the recent hypothesis that the amyloid structure is stabilised by the same physicochemical determinants as those operating in folded proteins. They also suggest that side chain-side chain interaction across neighbouring beta-strands is a key determinant of amyloid fibril formation and of their self-propagating ability.

摘要

从可溶状态转变为交叉β纤维状聚集体是许多不同蛋白质和肽所共有的特性,因此被推测为多肽链的一个普遍特征。现在越来越多的证据表明,这种纤维状聚集体通常具有由不同蛋白质分子贡献的β链平行、同向排列的特征。在此,我们假设存在一种通用机制负责β结构的形成,并通过对球状蛋白质天然折叠的统计分析推导出蛋白质片段对之间的序列特异性相互作用能。在一种新算法——淀粉样蛋白结构聚集预测(PASTA)中实现了推导得到的片段-片段相互作用,以研究序列异质性在驱动特定聚集形成有序的自我传播交叉β结构中的作用。该算法预测,在大多数情况下,参与纤维交叉β核心的序列部分的平行、同向排列是有利的。然而,当短肽形成的纤维中存在反平行排列时,它能正确识别。对初始未折叠多肽链中最易聚集部分的预测也与现有的实验观察结果高度一致。这些结果证实了最近的假说,即淀粉样蛋白结构是由与折叠蛋白中起作用的相同物理化学决定因素稳定的。它们还表明,相邻β链之间的侧链-侧链相互作用是淀粉样纤维形成及其自我传播能力的关键决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4dd/1764048/030e3d5996a7/pcbi.0020170.g001.jpg

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