Protein Engineering Approaches in the Post-Genomic Era

被引:27
|
作者
Singh, Raushan K. [1 ]
Lee, Jung-Kul [1 ]
Selvaraj, Chandrabose [1 ]
Singh, Ranjitha [1 ]
Li, Jinglin [1 ]
Kim, Sang-Yong [2 ]
Kalia, Vipin C. [3 ]
机构
[1] Konkuk Univ, Dept Chem Engn, Seoul 05029, South Korea
[2] Shin Ansan Univ, Dept Food Sci & Biotechnol, Ansan 15435, South Korea
[3] CSIR Inst Genom & Integrat Biol, Microbial Biotechnol & Genom, Delhi Univ Campus,Mall Rd, Delhi 110007, India
关键词
De novo design; directed evolution; genomics; protein engineering; random mutagenesis; rational design; DE-NOVO DESIGN; AMINO-ACID MUTAGENESIS; DIRECTED EVOLUTION; COMPUTATIONAL DESIGN; RATIONAL DESIGN; METAL-BINDING; CATALYTIC-ACTIVITY; SATURATION MUTAGENESIS; STRUCTURE PREDICTION; CARBONIC-ANHYDRASE;
D O I
10.2174/1389203718666161117114243
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Proteins are one of the most multifaceted macromolecules in living systems. Proteins have evolved to function under physiological conditions and, therefore, are not usually tolerant of harsh experimental and environmental conditions. The growing use of proteins in industrial processes as a greener alternative to chemical catalysts often demands constant innovation to improve their performance. Protein engineering aims to design new proteins or modify the sequence of a protein to create proteins with new or desirable functions. With the emergence of structural and functional genomics, protein engineering has been invigorated in the post-genomic era. The three-dimensional structures of proteins with known functions facilitate protein engineering approaches to design variants with desired properties. There are three major approaches of protein engineering research, namely, directed evolution, rational design, and de novo design. Rational design is an effective method of protein engineering when the threedimensional structure and mechanism of the protein is well known. In contrast, directed evolution does not require extensive information and a three-dimensional structure of the protein of interest. Instead, it involves random mutagenesis and selection to screen enzymes with desired properties. De novo design uses computational protein design algorithms to tailor synthetic proteins by using the three-dimensional structures of natural proteins and their folding rules. The present review highlights and summarizes recent protein engineering approaches, and their challenges and limitations in the post-genomic era.
引用
收藏
页码:5 / 15
页数:11
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