Suppr超能文献

淀粉样生成多肽链绝对聚集速率的预测。

Prediction of the absolute aggregation rates of amyloidogenic polypeptide chains.

作者信息

DuBay Kateri F, Pawar Amol P, Chiti Fabrizio, Zurdo Jesús, Dobson Christopher M, Vendruscolo Michele

机构信息

Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.

出版信息

J Mol Biol. 2004 Aug 27;341(5):1317-26. doi: 10.1016/j.jmb.2004.06.043.

Abstract

Protein aggregation is associated with a variety of pathological conditions, including Alzheimer's and Creutzfeldt-Jakob diseases and type II diabetes. Such degenerative disorders result from the conversion of the normal soluble state of specific proteins into aggregated states that can ultimately form the characteristic amyloid fibrils found in diseased tissue. Under appropriate conditions it appears that many, perhaps all, proteins can be converted in vitro into amyloid fibrils. The aggregation propensities of different polypeptide chains have, however, been observed to vary substantially. Here, we describe an approach that uses the knowledge of the amino acid sequence and of the experimental conditions to reproduce, with a correlation coefficient of 0.92 and over five orders of magnitude, the in vitro aggregation rates of a wide range of unstructured peptides and proteins. These results indicate that the formation of protein aggregates can be rationalised to a considerable extent in terms of simple physico-chemical parameters that describe the properties of polypeptide chains and their environment.

摘要

蛋白质聚集与多种病理状况相关,包括阿尔茨海默病、克雅氏病和II型糖尿病。此类退行性疾病是特定蛋白质从正常可溶状态转变为聚集状态所致,最终可形成患病组织中发现的特征性淀粉样纤维。在适当条件下,似乎许多甚至所有蛋白质都能在体外转化为淀粉样纤维。然而,已观察到不同多肽链的聚集倾向差异很大。在此,我们描述了一种方法,该方法利用氨基酸序列和实验条件的知识,以0.92的相关系数和超过五个数量级的范围,重现了多种无结构肽和蛋白质的体外聚集速率。这些结果表明,就描述多肽链及其环境性质的简单物理化学参数而言,蛋白质聚集体的形成在很大程度上是可以合理解释的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验