Literature DB >> 1214108

Computer simulation of flagellar movement. III. Models incorporating cross-bridge kinetics.

C J Brokaw, D R Rintala.   

Abstract

A computer simulation procedure is used to analyze the generation of propagated bending waves by flagellar models in which active sliding is generated by a cycle of cross-bridge activity. Two types of cross-bridge cycle have been examined in detail. In both cycles, cross-bridge attachment is followed immediately by a configurational change in the cross-bridge, which transfers energy to a stretched elastic element and generates a shearing force between the filaments. In the first model, which has cross-bridge behavior close to current ideas about cross-bridge behavior in muscle, cross-bridge attachment is proportional to curvature of the flagellum and detachment is an exponential decay process. The configurational change is equivalent to an angular deviation of pi/5 radians. In the second type of cross-bridge cycle, cross-bridge attachment occurs rapidly when a critical curvature is reached, and detachment occurs when a critical curvature in the opposite direction is reached. With this cycle, an unrealistically large angular deviation of the cross-bridges, equivalent to 3.0 radians, is required to obtain bending waves of normal amplitude. Both models generate bending wave patterns similar to those obtained in earlier work. However, the behavior of the second type of cross-bridge model more closely matches the actual behavior of flagella under experimental conditions: the chemical turnover rate per beat cycle remains constant as the viscosity is increased, and reduction in the number of active cross-bridges can cause a reduction in beat frequency, with little change in amplitude or wavelength.

Entities:  

Mesh:

Year:  1975        PMID: 1214108

Source DB:  PubMed          Journal:  J Mechanochem Cell Motil        ISSN: 0091-6552


  16 in total

1.  Bend propagation in flagella. II. Incorporation of dynein cross-bridge kinetics into the equations of motion.

Authors:  M Hines; J J Blum
Journal:  Biophys J       Date:  1979-03       Impact factor: 4.033

2.  Ciliary motion modeling, and dynamic multicilia interactions.

Authors:  S Gueron; N Liron
Journal:  Biophys J       Date:  1992-10       Impact factor: 4.033

3.  How molecular motors shape the flagellar beat.

Authors:  Ingmar H Riedel-Kruse; Andreas Hilfinger; Jonathon Howard; Frank Jülicher
Journal:  HFSP J       Date:  2007-09

4.  Computer simulation of flagellar movement. IV. Properties of an oscillatory two-state cross-bridge model.

Authors:  C J Brokaw
Journal:  Biophys J       Date:  1976-09       Impact factor: 4.033

5.  Analysis of unstable modes distinguishes mathematical models of flagellar motion.

Authors:  P V Bayly; K S Wilson
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

6.  Steady dynein forces induce flutter instability and propagating waves in mathematical models of flagella.

Authors:  P V Bayly; S K Dutcher
Journal:  J R Soc Interface       Date:  2016-10       Impact factor: 4.118

7.  The counterbend dynamics of cross-linked filament bundles and flagella.

Authors:  Rachel Coy; Hermes Gadêlha
Journal:  J R Soc Interface       Date:  2017-05       Impact factor: 4.118

8.  Equations of interdoublet separation during flagella motion reveal mechanisms of wave propagation and instability.

Authors:  Philip V Bayly; Kate S Wilson
Journal:  Biophys J       Date:  2014-10-07       Impact factor: 4.033

9.  Computer simulation of flagellar movement. VI. Simple curvature-controlled models are incompletely specified.

Authors:  C J Brokaw
Journal:  Biophys J       Date:  1985-10       Impact factor: 4.033

10.  Digitized precision measurements of the movements of sea urchin sperm flagella.

Authors:  R Rikmenspoel; C A Isles
Journal:  Biophys J       Date:  1985-03       Impact factor: 4.033

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.