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.
