Thermodynamic Control of Activity Patterns in Cytoskeletal Networks

Abstract

We aim to identify the control principles governing the adaptable formation of non-equilibrium structures in actomyosin networks. We build a phenomenological model and predict that biasing the energy dissipated by molecular motors should effectively renormalize the motor-mediated interactions between actin filaments. Indeed, using methods from large deviation theory, we demonstrate that biasing energy dissipation is equivalent to modulating the motor rigidity and results in an aster-to-bundle transition. From the simulation statistics, we extract a relation between the biasing parameter and the corresponding normalized motor rigidity. This work elucidates the relationship between energy dissipation, effective interactions, and pattern formation in active biopolymer networks, providing a control principle of cytoskeletal structure and dynamics.

6 pages, 2 figures

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Cited by in corpus (5)

• Methods and Conversations in (Post)Modern Thermodynamics
• Biased ensembles of pulsating active matter
• Closed-loop control of active nematic flows
• Physics-informed graph neural networks enhance scalability of variational nonequilibrium optimal control
• Steering Active-Colloid Assembly by Biasing Dissipation