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Directed Evolution: Methodologies and Applications

📅 Published: July 23, 2021 👤 Yajie Wang, Pu Xue, Mingfeng Cao et al. 📖 Chemical Reviews 📊 704 citations
AI-Generated Summary

Directed evolution aims to expedite the natural evolution process of biological molecules and systems in a test tube through iterative rounds of gene diversifications and library screening/selection. Moreover, we highlight some representative applications of directed evolution in engineering nucleic acids, proteins, pathways, genetic circuits, viruses, and whole cells.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 It has become one of the most powerful and widespread tools for engineering improved or novel functions in proteins, metabolic pathways, and even whole genomes.
  • 2 This review describes the commonly used gene diversification strategies, screening/selection methods, and recently developed continuous evolution strategies for directed evolution.
  • 3 Moreover, we highlight some representative applications of directed evolution in engineering nucleic acids, proteins, pathways, genetic circuits, viruses, and whole cells.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jul 23, 2021
Journal Chemical Reviews
DOI 10.1021/acs.chemrev.1c00260
Citations 704
Authors Yajie Wang, Pu Xue, Mingfeng Cao, Tianhao Yu, Stephan Lane