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Empowering Protein Engineering through Recombination of Beneficial Substitutions.

Xinyue WangAnni LiXiujuan LiHaiyang Cui
Published in: Chemistry (Weinheim an der Bergstrasse, Germany) (2024)
Directed evolution stands as a seminal technology for generating novel protein functionalities, a cornerstone in biocatalysis, metabolic engineering, and synthetic biology. Today, with the development of various mutagenesis methods and advanced analytical machines, the challenge of diversity generation and high-throughput screening platforms is largely solved, and one of the remaining challenges is: how to empower the potential of single beneficial substitutions with recombination to achieve the epistatic effect. This review overviews experimental and computer-assisted recombination methods in protein engineering campaigns. In addition, integrated and machine learning-guided strategies were highlighted to discuss how these recombination approaches contribute to generating the screening library with better diversity, coverage, and size. A decision tree was finally summarized to guide the further selection of proper recombination strategies in practice, which was beneficial for accelerating protein engineering.
Keyphrases
  • dna repair
  • dna damage
  • machine learning
  • protein protein
  • healthcare
  • amino acid
  • primary care
  • crispr cas
  • oxidative stress
  • liquid chromatography
  • deep learning
  • decision making
  • health insurance