The stochastic model of F1-ATPase molecular motor functioning

Aleksandra F. Pogrebnaya; Yury M. Romanovsky; Aleksander N. Tikhonov

doi:10.1117/12.525064

28 May 2004 The stochastic model of F₁-ATPase molecular motor functioning

Aleksandra F. Pogrebnaya, Yury M. Romanovsky, Aleksander N. Tikhonov

Proceedings Volume 5330, Complex Dynamics, Fluctuations, Chaos, and Fractals in Biomedical Photonics; (2004) https://doi.org/10.1117/12.525064
Event: Biomedical Optics 2004, 2004, San Jose, CA, United States

Abstract

This work is devoted to the study of the energy characteristics of the F₁ATPase-substrate complex. The results of calculations of the electrostatic energy in the enzyme-substrate complex are presented in the first part. In calculations, we take into account the electrostatic interactions between the charged groups of the substrate (MgATP) and reaction products (MgADP and P_i) and charged amino acid residues of the α₃β₃γ complex that correspond to various conformations of the enzyme. The hydrolysis of ATP in the catalytic site leads to coordinated conformational changes in α, β subunits and to ordered rotation of γ subunit located in the center of F₁ATPase complex. The calculations show that the energetically favorable process involving MgATP binding at the catalytic site in the "open" conformation initiates γ subunit rotation followed by the hydrolysis in the other (tight) catalytic site. In the second part, we propose the simplest stochastic model describing the ordered rotation of γ subunit (the rotor of F₁-ATPase molecular motor). In the model we take into account the electrostatic interaction using the results of the previous calculations. We employ experimentally obtained dynamic parameters. The model takes into account the thermal fluctuations of the bath and the random processes of the substrate binding and the escape of the reaction products.

Citation Download Citation

Aleksandra F. Pogrebnaya, Yury M. Romanovsky, and Aleksander N. Tikhonov "The stochastic model of F₁-ATPase molecular motor functioning", Proc. SPIE 5330, Complex Dynamics, Fluctuations, Chaos, and Fractals in Biomedical Photonics, (28 May 2004); https://doi.org/10.1117/12.525064

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