Fishing for Catalysis: Experimental Approaches to Narrowing Search Space in Directed Evolution of Enzymes.
Journal
JACS Au
ISSN: 2691-3704
Titre abrégé: JACS Au
Pays: United States
ID NLM: 101775714
Informations de publication
Date de publication:
25 Sep 2023
25 Sep 2023
Historique:
received:
19
06
2023
revised:
07
08
2023
accepted:
08
08
2023
medline:
29
9
2023
pubmed:
29
9
2023
entrez:
29
9
2023
Statut:
epublish
Résumé
Directed evolution has transformed protein engineering offering a path to rapid improvement of protein properties. Yet, in practice it is limited by the hyper-astronomic protein sequence search space, and approaches to identify mutagenic hot spots, i.e., locations where mutations are most likely to have a productive impact, are needed. In this perspective, we categorize and discuss recent progress in the experimental approaches (broadly defined as structural, bioinformatic, and dynamic) to hot spot identification. Recent successes in harnessing protein dynamics and machine learning approaches provide new opportunities for the field and will undoubtedly help directed evolution reach its full potential.
Identifiants
pubmed: 37772192
doi: 10.1021/jacsau.3c00315
pmc: PMC10523367
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
2402-2412Subventions
Organisme : NIGMS NIH HHS
ID : R35 GM119634
Pays : United States
Informations de copyright
© 2023 The Authors. Published by American Chemical Society.
Déclaration de conflit d'intérêts
The authors declare no competing financial interest.
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