Correlated particle transport enables biological free energy transduction
Copyright © 2023 Biophysical Society. Published by Elsevier Inc. All rights reserved..
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).
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:122 |
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| Enthalten in: |
Biophysical journal - 122(2023), 10 vom: 16. Mai, Seite 1762-1771 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Terai, Kiriko [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 19.05.2023 Date Revised 13.06.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.bpj.2023.04.009 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2023 Biophysical Society. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a 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) | ||
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| 650 | 4 | |a biological transport networks | |
| 650 | 4 | |a electron bifurcation | |
| 650 | 4 | |a free energy transduction | |
| 650 | 4 | |a many-particle transport kinetics | |
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| 650 | 4 | |a redox-coupled proton pump | |
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| 700 | 1 | |a Yuly, Jonathon L |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Peng |e verfasserin |4 aut | |
| 700 | 1 | |a Beratan, David N |e verfasserin |4 aut | |
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