The Boltzmann distributions of molecular structures predict likely changes through random mutations.


Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
21 Nov 2023
Historique:
received: 14 04 2023
revised: 19 08 2023
accepted: 20 10 2023
pmc-release: 21 11 2024
medline: 27 11 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: ppublish

Résumé

New folded molecular structures can only evolve after arising through mutations. This aspect is modeled using genotype-phenotype maps, which connect sequence changes through mutations to changes in molecular structures. Previous work has shown that the likelihood of appearing through mutations can differ by orders of magnitude from structure to structure and that this can affect the outcomes of evolutionary processes. Thus, we focus on the phenotypic mutation probabilities φ

Identifiants

pubmed: 37897043
pii: S0006-3495(23)00660-4
doi: 10.1016/j.bpj.2023.10.024
pmc: PMC10698324
pii:
doi:

Substances chimiques

RNA 63231-63-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4467-4475

Informations de copyright

Copyright © 2023 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

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Auteurs

Nora S Martin (NS)

Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford, United Kingdom; Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom; Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom. Electronic address: nora.martin@crg.eu.

Sebastian E Ahnert (SE)

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom; The Alan Turing Institute, London, United Kingdom.

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Classifications MeSH