Learning from Protein Engineering by Deconvolution of Multi-Mutational Variants.

Directed evolution cooperative mutational effects double mutant cycle non-additive mutations stereoselectivity

Journal

Angewandte Chemie (International ed. in English)
ISSN: 1521-3773
Titre abrégé: Angew Chem Int Ed Engl
Pays: Germany
ID NLM: 0370543

Informations de publication

Date de publication:
17 Jun 2024
Historique:
revised: 05 06 2024
received: 11 03 2024
accepted: 06 06 2024
medline: 17 6 2024
pubmed: 17 6 2024
entrez: 17 6 2024
Statut: aheadofprint

Résumé

This review analyzes a development in biochemistry, enzymology and biotechnology that originally came as a surprise. As part of directed evolution of stereoselective enzymes in organic chemistry, the concept of partial or complete deconvolution of selective multi-mutational variants was established and refined during the past 15 years. Early deconvolution experiments of stereoselective variants led to the finding that mutations can interact cooperatively or antagonistically with one another, not just additively. Later, this phenomenon was shown to be general. Molecular dynamics (MD) and quantum mechanics/molecular mechanics (QM/MM) computations were performed in order to shed light on the origin of non-additivity at all stages of an evolutionary upward climb. Data of complete deconvolution can be used to construct unique multi-dimensional rugged fitness pathway landscapes, which provide more mechanistic insight than traditional fitness landscapes. Along a related line, biochemists have long tested the result of introducing two point mutations in an enzyme for mechanistic reasons, followed by a comparison of the respective double mutant in so-called double mutant cycles, which originally showed only additive effects, but more recently also uncovered cooperative and antagonistic non-additive effects.

Identifiants

pubmed: 38884594
doi: 10.1002/anie.202404880
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e202404880

Informations de copyright

© 2024 Wiley‐VCH GmbH.

Auteurs

Frank Hollmann (F)

TU Delft, Biotechnology, Julianalaan 136, 2628BL, Delft, NETHERLANDS.

Joaquin Sanchis Martinez (J)

Monash University, Joaquin.Sanchis@monash.edu, AUSTRALIA.

Manfred T Reetz (MT)

Max-Planck-Institut fur Kohlenforschung, Biocatalysis, Kaiser-Wilhelm-Platz 1, 45470, Muelheim an der Ruhr, GERMANY.

Classifications MeSH