合理设计
生化工程
蛋白质工程
定向进化
计算机科学
风险分析(工程)
纳米技术
工程类
化学
酶
材料科学
业务
生物化学
基因
突变体
作者
Ramayya Kumar,Arbind Kumar,Jagdeep Kaur
出处
期刊:Current Protein & Peptide Science
[Bentham Science]
日期:2023-02-01
卷期号:24 (2): 113-129
标识
DOI:10.2174/1389203724666230110163234
摘要
Highly evolved biocatalysts that can endure harsh environmental conditions during industrial processes are highly desirable. The availability of suitable biocatalysts with high enzyme activity, substrate selectivity, and stability could lower the production costs in the pharmaceutical, chemical, and food industries, resulting in more economical products.Naturally evolved enzymes could not be exploited in industrial applications because of their compromised properties. Till date, protein engineering strategies have helped us to improve the desired physical and catalytic properties of enzymes to meet their performance needs in industrial and medical applications.Protein engineering technologies such as directed evolution and rational designing are wellsuited for improving biocatalytic properties. Each approach has its own set of limitations, and the implementation of techniques is contingent on the availability of prerequisite information about the biocatalyst. Protein structure information is essential for rational design, but no prior structural knowledge is required for directed evolution. Furthermore, semi-rational approaches and enzyme designing are also being used. Considering these facts, this study outlines the various molecular techniques used to improve the physical and catalytic properties of enzymes. It also emphasises the magnitude of strategies used to improve the properties of biocatalysts to meet the needs of industrial processes.Protein engineering frequently employs for improving crucial enzyme characteristics. A semi-rational approach has now emerged as the preferred technology for protein engineering. However, adopting an engineering strategy to achieve the desired characteristic depends on the availability of resources and subject-matter knowledge.
科研通智能强力驱动
Strongly Powered by AbleSci AI