Unlocking the potential of enzyme engineering via rational computational design strategies

• 全文链接

通过合理的计算设计策略释放酶工程的潜力

关键词：

来源：

Biotechnology Advances

全文链接：

//agri.nais.net.cn/topic/downloadFile/b6169073-a60e-48b2-aa50-f6ae68d06961

来源地址：

https://doi.org/10.1016/j.biotechadv.2024.108376

资源所属：

饲料用酶工程

类型：

学术文献

语种：

英语

原文发布日期：

2024-05-15

摘要：

Enzymes play a pivotal role in various industries by enabling efficient, eco-friendly, and sustainable chemical processes. However, the low turnover rates and poor substrate selectivity of enzymes limit their large-scale applications. Rational computational enzyme design, facilitated by computational algorithms, offers a more targeted and less labor-intensive approach. There has been notable advancement in employing rational computational protein engineering strategies to overcome these issues, it has not been comprehensively reviewed so far. This article reviews recent developments in rational computational enzyme design, categorizing them into three types: structure-based, sequence-based, and data-driven machine learning computational design. Case studies are presented to demonstrate successful enhancements in catalytic activity, stability, and substrate selectivity. Lastly, the article provides a thorough analysis of these approaches, highlights existing challenges and potential solutions, and offers insights into future development directions.