定向进化
定向分子进化
计算生物学
计算机科学
合成生物学
突变
清脆的
多元化(营销策略)
选择(遗传算法)
生物
生物信息学
许可证
生物技术
数据科学
生化工程
遗传学
人工智能
基因
工程类
突变
突变体
业务
营销
操作系统
作者
Zarina Iqbal,Saima Sadaf
标识
DOI:10.1080/02648725.2021.2017638
摘要
Directed (or in vitro) evolution of proteins and metabolic pathways requires tools for creating genetic diversity and identifying protein variants with new or improved functional properties. Besides simplicity, reliability, speed, versatility, universal applicability and economy of the technique, the new science of synthetic biology requires improved means for construction of smart and high-quality mutant libraries to better navigate the sequence diversity. In vitro CRISPR/Cas9-mediated mutagenic (ICM) system and machine-learning (ML)-assisted approaches to directed evolution are now in the field to achieve the goal. This review describes the gene diversification strategies, screening and selection methods, in silico (computer-aided), Cas9-mediated and ML-based approaches to mutagenesis, developed especially in the last decade, and their patent position. The objective behind is to emphasize researchers the need for noting which mutagenesis, screening or selection method is patented and then selecting a suitable restriction-free approach to sequence diversity. Techniques and evolved products subject to patent rights need commercial license if their use is for purposes other than private or experimental research.
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