Zhang Kun, Dai Yifei, Sun Jindi, Lu Jiachen, Chen Kequan
College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, Jiangsu, China.
Sheng Wu Gong Cheng Xue Bao. 2021 Dec 25;37(12):4187-4200. doi: 10.13345/j.cjb.200791.
The amino acid sequence of ancestral enzymes from extinct organisms can be deduced through in silico approach termed ancestral sequence reconstruction (ASR). ASR usually has six steps, which are the collection of nucleic acid/amino acid sequences of modern enzymes, multiple sequence alignment, phylogenetic tree construction, computational deduction of ancestral enzyme sequence, gene cloning, and characterization of enzyme properties. This method is widely used to study the adaptation and evolution mechanism of molecules to the changing environmental conditions on planetary time scale. As enzymes play key roles in biocatalysis, this method has become a powerful method for studying the relationship among the sequence, structure, and function of enzymes. Notably, most of the ancestral enzymes show better temperature stability and mutation stability, making them ideal protein scaffolds for further directed evolution. This article summarizes the computer algorithms, applications, and commonly used computer software of ASR, and discusses the potential application in directed evolution of enzymes.
已灭绝生物的原始酶的氨基酸序列可通过一种称为祖先序列重建(ASR)的计算机方法推导得出。ASR通常有六个步骤,分别是现代酶的核酸/氨基酸序列收集、多序列比对、系统发育树构建、原始酶序列的计算推导、基因克隆以及酶性质表征。该方法被广泛用于研究分子在行星时间尺度上对不断变化的环境条件的适应和进化机制。由于酶在生物催化中起关键作用,该方法已成为研究酶的序列、结构和功能之间关系的有力方法。值得注意的是,大多数原始酶表现出更好的热稳定性和突变稳定性,使其成为进一步定向进化的理想蛋白质支架。本文总结了ASR的计算机算法、应用和常用计算机软件,并讨论了其在酶定向进化中的潜在应用。