Literature DB >> 35192841

A chemical thermodynamic model of motor enzymes unifies chemical-Fx and powerstroke models.

Josh E Baker1.   

Abstract

Molecular motors play a central role in many biological processes, ranging from pumping blood and breathing to growth and wound healing. Through motor-catalyzed chemical reactions, these nanomachines convert the chemical free energy from ATP hydrolysis into two different forms of mechanical work. Motor enzymes perform reversible work, wrev, through an intermediate step in their catalyzed reaction cycle referred to as a working step, and they perform Fx work when they move a distance, x, against a force, F. In a powerstroke model, wrev is performed when the working step stretches a spring within a given motor enzyme. In a chemical-Fx model, wrev is performed in generating a conserved Fx potential defined external to the motor enzyme. It is difficult to find any common ground between these models even though both have been shown to account for mechanochemical measurements of motor enzymes with reasonable accuracy. Here, I show that, by changing one simple assumption in each model, the powerstroke and chemical-Fx model can be reconciled through a chemical thermodynamic model. The formal and experimental justifications for changing these assumptions are presented. The result is a unifying model for mechanochemical coupling in motor enzymes first presented by A.V. Hill in 1938 that is consistent with single-molecule structural and mechanical data.
Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2022        PMID: 35192841      PMCID: PMC9034244          DOI: 10.1016/j.bpj.2022.02.034

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   3.699


  35 in total

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Authors:  Yongtae Hwang; Takumi Washio; Toshiaki Hisada; Hideo Higuchi; Motoshi Kaya
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

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Journal:  Nature       Date:  1995-11-09       Impact factor: 49.962

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Authors:  K Svoboda; S M Block
Journal:  Cell       Date:  1994-06-03       Impact factor: 41.582

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Authors:  K Svoboda; C F Schmidt; B J Schnapp; S M Block
Journal:  Nature       Date:  1993-10-21       Impact factor: 49.962

Review 10.  The Physics and Physical Chemistry of Molecular Machines.

Authors:  R Dean Astumian; Shayantani Mukherjee; Arieh Warshel
Journal:  Chemphyschem       Date:  2016-06-15       Impact factor: 3.102

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