Suppr超能文献

利用物理技术深入了解蛋白质折叠:溶菌酶和α-乳白蛋白的研究

Insights into protein folding using physical techniques: studies of lysozyme and alpha-lactalbumin.

作者信息

Radford S E, Dobson C M

机构信息

Oxford Centre for Molecular Sciences, New Chemistry Laboratory, University of Oxford, U.K.

出版信息

Philos Trans R Soc Lond B Biol Sci. 1995 Apr 29;348(1323):17-25. doi: 10.1098/rstb.1995.0041.

Abstract

Understanding the process of protein folding, during which a disordered polypeptide chain is converted into a compact well-defined structure, is one of the major challenges of modern structural biology. In this article we discuss how a combination of physical techniques can provide a structural description of the events which occur during the folding of a protein. First, we discuss how the rapid kinetic events which take place during in vitro folding can be monitored and deciphered in structural terms. Then we consider how more detailed structural descriptions of intermediates may be obtained from NMR studies of stable, partly folded states. Finally, we discuss how these experimental strategies may be extended to relate the findings of in vitro studies to the events occurring during folding in vivo. The approaches will be illustrated using results primarily from our own studies of the c-type lysozymes and the homologous alpha-lactalbumins. The conclusions from these studies are also related to those from other systems to highlight their unifying features. On the basis of these results we identify some of the determinants of the events in folding and we speculate on the importance of these in driving folding molecules to their native states.

摘要

理解蛋白质折叠过程(在此过程中,一条无序的多肽链会转变为紧密且结构明确的结构)是现代结构生物学的主要挑战之一。在本文中,我们将讨论物理技术的组合如何能够提供蛋白质折叠过程中所发生事件的结构描述。首先,我们将讨论如何从结构角度监测和解码体外折叠过程中发生的快速动力学事件。然后,我们将考虑如何通过对稳定的部分折叠状态进行核磁共振研究来获得中间体更详细的结构描述。最后,我们将讨论如何扩展这些实验策略,以便将体外研究结果与体内折叠过程中发生的事件联系起来。这些方法将主要通过我们自己对c型溶菌酶和同源α-乳白蛋白的研究结果进行说明。这些研究得出的结论也与其他系统的结论相关,以突出它们的统一特征。基于这些结果,我们确定了折叠过程中一些事件的决定因素,并推测了它们在驱使折叠分子形成天然状态方面的重要性。

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