Predictive Engineering of Class I Terpene Synthases Using Experimental and Computational Approaches.

computational chemistry functional plasticity protein engineering terpene synthases terpenoids

Journal

Chembiochem : a European journal of chemical biology
ISSN: 1439-7633
Titre abrégé: Chembiochem
Pays: Germany
ID NLM: 100937360

Informations de publication

Date de publication:
04 03 2022
Historique:
revised: 15 10 2021
received: 14 09 2021
pubmed: 21 10 2021
medline: 26 4 2022
entrez: 20 10 2021
Statut: ppublish

Résumé

Terpenoids are a highly diverse group of natural products with considerable industrial interest. Increasingly, engineered microbes are used for the production of terpenoids to replace natural extracts and chemical synthesis. Terpene synthases (TSs) show a high level of functional plasticity and are responsible for the vast structural diversity observed in natural terpenoids. Their relatively inert active sites guide intrinsically reactive linear carbocation intermediates along one of many cyclisation paths via exertion of subtle steric and electrostatic control. Due to the absence of a strong protein interaction with these intermediates, there is a remarkable lack of sequence-function relationship within the TS family, making product-outcome predictions from sequences alone challenging. This, in combination with the fact that many TSs produce multiple products from a single substrate hampers the design and use of TSs in the biomanufacturing of terpenoids. This review highlights recent advances in genome mining, computational modelling, high-throughput screening, and machine-learning that will allow more predictive engineering of these fascinating enzymes in the near future.

Identifiants

pubmed: 34669250
doi: 10.1002/cbic.202100484
pmc: PMC9298401
doi:

Substances chimiques

Terpenes 0
Alkyl and Aryl Transferases EC 2.5.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e202100484

Informations de copyright

© 2021 The Authors. ChemBioChem published by Wiley-VCH GmbH.

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Auteurs

Nicole G H Leferink (NGH)

Future Biomanufacturing Research Hub, Manchester Institute of Biotechnology, Department of Chemistry, School of Natural Sciences, The University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK.

Nigel S Scrutton (NS)

Future Biomanufacturing Research Hub, Manchester Institute of Biotechnology, Department of Chemistry, School of Natural Sciences, The University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK.

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Classifications MeSH