TY - JOUR
T1 - 酶祖先序列重建与定向进化
AU - Zhang, Kun
AU - Dai, Yifei
AU - Sun, Jindi
AU - Lu, Jiachen
AU - Chen, Kequan
N1 - Publisher Copyright:
© 2021, Science Press. All right reserved.
PY - 2021/12/25
Y1 - 2021/12/25
N2 - 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.
AB - 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.
KW - Ancestral enzyme
KW - Ancestral sequence reconstruction
KW - Biocatalysis
KW - Directed evolution
KW - Enzyme structure-function relationships
UR - http://www.scopus.com/inward/record.url?scp=85121726333&partnerID=8YFLogxK
U2 - 10.13345/j.cjb.200791
DO - 10.13345/j.cjb.200791
M3 - 文献综述
C2 - 34984867
AN - SCOPUS:85121726333
SN - 1000-3061
VL - 37
SP - 4187
EP - 4200
JO - Shengwu Gongcheng Xuebao/Chinese Journal of Biotechnology
JF - Shengwu Gongcheng Xuebao/Chinese Journal of Biotechnology
IS - 12
ER -