A Versatile Framework for Simulating the Dynamic Mechanical Structure of Cytoskeletal Networks.

Area of Science:

• Biophysics
• Computational Biology
• Materials Science

Background:

• Understanding collective material properties from constituent interactions is crucial.
• Cytoskeletal networks, composed of actin filaments, myosin motors, and cross-linking proteins, are key biological materials.

Purpose of the Study:

• To introduce a coarse-grained model for simulating cytoskeletal networks at biologically relevant scales.
• To validate the model against experimental observations and use it for predictions.

Main Methods:

• Development of a coarse-grained computational model.
• Simulation of actin filament, myosin motor, and cross-linking protein interactions.
• Comparison of simulation results with experimental data for validation.

Main Results:

• The model accurately reproduces experimental trends in filament fluctuations, mechanical responses, and motor dynamics.
• Predicted viscoelastic scaling behavior of cross-linked actin networks.
• Characterized actin trajectories in myosin motility assays and developed contractility parameters.

Conclusions:

• The developed model serves as a powerful platform for interpreting and designing cytoskeletal materials experiments.
• Facilitates further development of simulations incorporating active biological elements.
• Enables deeper understanding of emergent material properties from molecular interactions.