Torque-coupled thermodynamic model for FoF1-ATPase

Guangkuo Ai, Pengfei Liu, and Hao Ge
Phys. Rev. E 95, 052413 – Published 23 May 2017
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Abstract

FoF1-ATPase is a motor protein complex that utilizes transmembrane ion flow to drive the synthesis of adenosine triphosphate (ATP) from adenosine diphosphate (ADP) and phosphate (Pi). While many theoretical models have been proposed to account for its rotary activity, most of them focus on the Fo or F1 portions separately rather than the complex as a whole. Here, we propose a simple but new torque-coupled thermodynamic model of FoF1-ATPase. Solving this model at steady state, we find that the monotonic variation of each portion's efficiency becomes much more robust over a wide range of parameters when the Fo and F1 portions are coupled together, as compared to cases when they are considered separately. Furthermore, the coupled model predicts the dependence of each portion's kinetic behavior on the parameters of the other. Specifically, the power and efficiency of the F1 portion are quite sensitive to the proton gradient across the membrane, while those of the Fo portion as well as the related Michaelis constants for proton concentrations respond insensitively to concentration changes in the reactants of ATP synthesis. The physiological proton gradient across the membrane in the Fo portion is also shown to be optimal for the Michaelis constants of ADP and phosphate in the F1 portion during ATP synthesis. Together, our coupled model is able to predict key dynamic and thermodynamic features of the FoF1-ATPase in vivo semiquantitatively, and suggests that such coupling approach could be further applied to other biophysical systems.

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  • Received 31 May 2016
  • Revised 2 March 2017

DOI:https://doi.org/10.1103/PhysRevE.95.052413

©2017 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Physical Systems
Physics of Living Systems

Authors & Affiliations

Guangkuo Ai

  • Beijing International Center for Mathematical Research and School of Mathematical Sciences, Peking University, Beijing 100871, People's Republic of China

Pengfei Liu

  • Applied and Computational Mathematics, California Institute of Technology, Pasadena, California 91125, USA

Hao Ge*

  • Beijing International Center for Mathematical Research and Biodynamic Optical Imaging Center, Peking University, Beijing 100871, People's Republic of China

  • *haoge@pku.edu.cn

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Issue

Vol. 95, Iss. 5 — May 2017

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