We develop the model used in the simulation framework, validate it by testing against theory, and demonstrate the kinds of experiments it can be used to study.
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 demonstrate that bound mobility via tethered diffusion can be engineered into a synthetic gel using protein fragments derived from the nuclear pore complex.
We develop a theory of steady-state overlap length which depends on the filament plus-end motor concentration, determined by a balance between motor arrival and motor departure in the absence of motor-driven sliding.
We develop a model motivated by features of the nuclear pore complex (NPC) which provides a framework to control binding-induced selective transport in bipolymeric materials.