Literature DB >> 30500195

ATP-Concentration- and Force-Dependent Chemomechanical Coupling of Kinesin Molecular Motors.

Ping Xie1,2, Si-Kao Guo1,2, Hong Chen1.   

Abstract

A model is presented for the chemomechanical coupling of kinesin motors, which proposes that the rate constants of the chemical reaction are independent of the external force. On the basis of the model, we study theoretically the movement dynamics of the motors under varying external force and ATP concentration, such as the forward to backward stepping ratio, velocity, dwell time between two mechanical steps, stall force, and so on. The theoretical results reproduce quantitatively the diverse and even contradictory available single-molecule experimental data for different species of the motors. Furthermore, we study the dependence of the chemomechanical coupling ratio on ATP concentration and external force, with both ATP concentration and external force having large effects on the chemomechanical coupling.

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Year:  2018        PMID: 30500195     DOI: 10.1021/acs.jcim.8b00577

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  Modeling processive motion of kinesin-13 MCAK and kinesin-14 Cik1-Kar3 molecular motors.

Authors:  Ping Xie
Journal:  Protein Sci       Date:  2021-08-20       Impact factor: 6.993

2.  A model for the chemomechanical coupling of myosin-V molecular motors.

Authors:  Ping Xie
Journal:  RSC Adv       Date:  2019-08-27       Impact factor: 4.036

3.  Theoretical Analysis of Dynamics of Kinesin Molecular Motors.

Authors:  Ping Xie
Journal:  ACS Omega       Date:  2020-03-10

4.  Run length distribution of dimerized kinesin-3 molecular motors: comparison with dimeric kinesin-1.

Authors:  Si-Kao Guo; Xiao-Xuan Shi; Peng-Ye Wang; Ping Xie
Journal:  Sci Rep       Date:  2019-11-18       Impact factor: 4.379

5.  A Generalized Kinetic Model for Coupling between Stepping and ATP Hydrolysis of Kinesin Molecular Motors.

Authors:  Ping Xie; Si-Kao Guo; Hong Chen
Journal:  Int J Mol Sci       Date:  2019-10-03       Impact factor: 5.923

  5 in total

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