We present Brownian dynamics simulation results of driven semiflexible filaments with intrinsic curvature and investigate how the interplay between filament rigidity and radius of curvature can tune the self-organization behavior in homochiral systems and heterochiral mixtures.
We use simulations of driven filaments with tunable soft repulsion and rigidity in order to better understand how the interplay between filament flexibility and steric effects can lead to different active steady states.
We develop a computational model of fission-yeast mitosis using a course-grained Brownian Dynamic framework in conjunction with a force-dependent kinetic Monte Carlo algorithm to replicate the biorientation and segregation of chromosomes.
We develop a torque-balance model that describes spindle assembly due to dynamic microtubule bundles, spindle-pole bodies, the nuclear envelope, and crosslinkers to predict spindle-assembly dynamics.
Microtubules, motors, and cross-linkers are important for bipolarity, but the mechanisms necessary and sufficient for spindle assembly remain unknown. We describe a physical model that exhibits de novo bipolar spindle formation.
Recent work has found that microtubule rotational diffusion about minus-end attachment points contributes to kinetochore capture in fission yeast, but the relative contributions of dynamic instability and rotational diffusion are not well understood.
We study a physical model of filaments, crosslinking motors, and static crosslinkers to dissect the microscopic mechanisms of active stress generation in a two-dimensional system of orientationally aligned rods.
Non-equilibrium active matter made up of self-driven particles with short-range repulsive interactions exhibits collective motion and nonequilibrium order-disorder transitions.
