Abstract
Spatially explicit stochastic simulations of myosin S1 heads attaching to a single actin filament were used to investigate the process of force development in contracting muscle. Filament compliance effects were incorporated by adjusting the spacing between adjacent actin binding sites and adjacent myosin heads in response to cross-bridge attachment/detachment events. Appropriate model parameters were determined by multi-dimensional optimization and used to simulate force development records corresponding to different levels of Ca 2+ activation. Simulations in which the spacing between both adjacent actin binding sites and adjacent myosin S1 heads changed by ∼0.06 nm after cross-bridge attachment/detachment events 1), exhibited tension overshoots with a Ca2+ dependence similar to that measured experimentally and 2), mimicked the observed ktr-relative tension relationship without invoking a Ca2+-dependent increase in the rate of cross-bridge state transitions. Tension did not overshoot its steady-state value in control simulations modeling rigid thick and thin filaments with otherwise identical parameters. These results underline the importance of filament geometry and actin binding site availability in quantitative theories of muscle contraction.
Original language | English |
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Pages (from-to) | 4102-4109 |
Number of pages | 8 |
Journal | Biophysical Journal |
Volume | 91 |
Issue number | 11 |
DOIs | |
State | Published - Dec 2006 |
Bibliographical note
Funding Information:This work was supported by American Heart Association grant 0630079N and the University of Kentucky Research Challenge Trust Fund. The author thanks M. V. Jones (Dept. of Physiology, University of Wisconsin-Madison) for initial help with MATLAB programming, A. Mead (Dept. of Physiology, University of Kentucky) for his thoughts on filament averaging techniques and R. L. Moss (Dept. of Physiology, University of Wisconsin-Madison), and F. H. Andrade (Dept. of Physiology, University of Kentucky) for helpful discussions.
ASJC Scopus subject areas
- Biophysics