Correlated particle transport enables biological free energy transduction.

bacterial nanowires biological transport networks electron bifurcation free energy transduction many-particle transport kinetics master equation mean-field approximation redox-coupled proton pump

Journal

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

Informations de publication

Date de publication:
16 05 2023
Historique:
received: 21 12 2022
revised: 17 02 2023
accepted: 07 04 2023
pmc-release: 16 05 2024
medline: 19 5 2023
pubmed: 15 4 2023
entrez: 14 4 2023
Statut: ppublish

Résumé

Studies of biological transport frequently neglect the explicit statistical correlations among particle site occupancies (i.e., they use a mean-field approximation). Neglecting correlations sometimes captures biological function, even for out-of-equilibrium and interacting systems. We show that neglecting correlations fails to describe free energy transduction, mistakenly predicting an abundance of slippage and energy dissipation, even for networks that are near reversible and lack interactions among particle sites. Interestingly, linear charge transport chains are well described without including correlations, even for networks that are driven and include site-site interactions typical of biological electron transfer chains. We examine three specific bioenergetic networks: a linear electron transfer chain (as found in bacterial nanowires), a near-reversible electron bifurcation network (as in complex III of respiration and other recently discovered structures), and a redox-coupled proton pump (as in complex IV of respiration).

Identifiants

pubmed: 37056051
pii: S0006-3495(23)00239-4
doi: 10.1016/j.bpj.2023.04.009
pmc: PMC10209040
pii:
doi:

Substances chimiques

Protons 0
Electron Transport Complex IV EC 1.9.3.1
Proton Pumps 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1762-1771

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

Kiriko Terai (K)

Department of Chemistry, Duke University, Durham, North Carolina.

Jonathon L Yuly (JL)

Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersy.

Peng Zhang (P)

Department of Chemistry, Duke University, Durham, North Carolina.

David N Beratan (DN)

Department of Chemistry, Duke University, Durham, North Carolina; Department of Physics, Duke University, Durham, North Carolina; Department of Biochemistry, Duke University, Durham, North Carolina. Electronic address: david.beratan@duke.edu.

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