Comparison of explicit and mean-field models of cytoskeletal filaments with crosslinking motors
Adam R. Lamson, Jeffrey M. Moore, Fang Fang, Matthew A. Glaser,, Michael Shelley, Meredith D. Betterton

TL;DR
This paper compares explicit and mean-field models of cytoskeletal filaments with crosslinking motors, demonstrating that a truncated moment expansion can significantly speed up simulations of large motor-filament networks.
Contribution
It introduces a hierarchy of models for motor-filament interactions and shows that a truncated moment expansion offers a computationally efficient approach.
Findings
Models agree well at fast motor binding kinetics
Moment expansion speeds computation by 10^3 to 10^6 times
Facilitates large-scale motor-filament network simulations
Abstract
In cells, cytoskeletal filament networks are responsible for cell movement, growth, and division. Filaments in the cytoskeleton are driven and organized by crosslinking molecular motors. In reconstituted cytoskeletal systems, motor activity is responsible for far-from-equilibrium phenomena such as active stress, self-organized flow, and spontaneous nematic defect generation. How microscopic interactions between motors and filaments lead to larger-scale dynamics remains incompletely understood. To build from motor-filament interactions to predict bulk behavior of cytoskeletal systems, more computationally efficient techniques for modeling motor-filament interactions are needed. Here we derive a coarse-graining hierarchy of explicit and continuum models for crosslinking motors that bind to and walk on filament pairs. We compare the steady-state motor distribution and motor-induced…
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