Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover-Design-Build-Test-Learn Cycle.
biosynthetic gene clusters
genome mining
machine learning
natural products
strain engineering
synthetic biology
Journal
ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075
Informations de publication
Date de publication:
20 Aug 2024
20 Aug 2024
Historique:
medline:
20
8
2024
pubmed:
20
8
2024
entrez:
20
8
2024
Statut:
aheadofprint
Résumé
Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover-design-build-test-learn cycle of bioengineering, from recent progress in computational tools for AI-supported genome mining, enzyme and pathway engineering, and compound identification to novel host systems and new techniques for improving production levels, and place these trends in the context of responsible research and innovation, emphasizing the importance of anticipatory analysis at the early stages of process development.
Identifiants
pubmed: 39163395
doi: 10.1021/acssynbio.4c00391
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM