Papers

Kehinde O. Aina, Ram Avinery, Hui-Shun Kuan, Meredith D. Betterton, Michael A. D. Goodisman, and Daniel I. Goldman (2022). Frontiers in Physics 10 . DOI: 10.3389/fphy.2022.735667 . Download . Social organisms which construct nests consisting of tunnels and chambers necessarily navigate confined and crowded conditions. Unlike low density collectives like...

We describe a new simulation framework for motor protein and crosslinker interaction with microtubules in a lattice model.

We show evidence for micron-scale communication between nanometer-sized motors.

We explore different types of analytic models for crosslinkers and compare them to simulation.

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.

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.