Correlated particle transport enables biological free energy transduction.

Autor: Terai K; Department of Chemistry, Duke University, Durham, North Carolina., Yuly JL; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersy., Zhang P; Department of Chemistry, Duke University, Durham, North Carolina., 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.
Jazyk: angličtina
Zdroj: Biophysical journal [Biophys J] 2023 May 16; Vol. 122 (10), pp. 1762-1771. Date of Electronic Publication: 2023 Apr 12.
DOI: 10.1016/j.bpj.2023.04.009
Abstrakt: 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).
Competing Interests: Declaration of interests The authors declare no competing interests.
(Copyright © 2023 Biophysical Society. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE