Suppr超能文献

利用蛋白质的折叠景观来理解蛋白质功能。

Using the folding landscapes of proteins to understand protein function.

作者信息

Giri Rao V V Hemanth, Gosavi Shachi

机构信息

National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore 560065, India.

National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore 560065, India.

出版信息

Curr Opin Struct Biol. 2016 Feb;36:67-74. doi: 10.1016/j.sbi.2016.01.001. Epub 2016 Jan 24.

Abstract

Proteins fold on a biologically-relevant timescale because of a funnel-shaped energy landscape. This landscape is sculpted through evolution by selecting amino-acid sequences that stabilize native interactions while suppressing stable non-native interactions that occur during folding. However, there is strong evolutionary selection for functional residues and these cannot be chosen to optimize folding. Their presence impacts the folding energy landscape in a variety of ways. Here, we survey the effects of functional residues on folding by providing several examples. We then review how such effects can be detected computationally and be used as assays for protein function. Overall, an understanding of how functional residues modulate folding should provide insights into the design of natural proteins and their homeostasis.

摘要

由于漏斗状的能量景观,蛋白质在与生物学相关的时间尺度上折叠。这种景观是通过进化塑造的,通过选择稳定天然相互作用的氨基酸序列,同时抑制折叠过程中出现的稳定非天然相互作用。然而,对功能性残基有强烈的进化选择,并且不能选择这些残基来优化折叠。它们的存在以多种方式影响折叠能量景观。在这里,我们通过提供几个例子来综述功能性残基对折叠的影响。然后,我们回顾如何通过计算检测这些影响,并将其用作蛋白质功能的测定方法。总体而言,了解功能性残基如何调节折叠应该为天然蛋白质的设计及其稳态提供见解。

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