能源景观
进化生物学
生物
功能(生物学)
序列(生物学)
能量(信号处理)
透视图(图形)
计算生物学
分子进化
健身景观
蛋白质功能
系统发育学
遗传学
计算机科学
人工智能
基因
物理
生物化学
社会学
人口学
量子力学
人口
作者
Leslie A. Chisholm,Kona N. Orlandi,Sophia R. Phillips,Michael Shavlik,Michael J. Harms
标识
DOI:10.1146/annurev-biophys-030722-125440
摘要
A protein's sequence determines its conformational energy landscape. This, in turn, determines the protein's function. Understanding the evolution of new protein functions therefore requires understanding how mutations alter the protein energy landscape. Ancestral sequence reconstruction (ASR) has proven a valuable tool for tackling this problem. In ASR, one phylogenetically infers the sequences of ancient proteins, allowing characterization of their properties. When coupled to biophysical, biochemical, and functional characterization, ASR can reveal how historical mutations altered the energy landscape of ancient proteins, allowing the evolution of enzyme activity, altered conformations, binding specificity, oligomerization, and many other protein features. In this article, we review how ASR studies have been used to dissect the evolution of energy landscapes. We also discuss ASR studies that reveal how energy landscapes have shaped protein evolution. Finally, we propose that thinking about evolution from the perspective of an energy landscape can improve how we approach and interpret ASR studies. Expected final online publication date for the Annual Review of Biophysics, Volume 53 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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