Margaret E. Johnson

This paper develops a framework to model 1D reaction-diffusion dynamics with excluded volume, showing when single-rate continuum models accurately describe reversible binding kinetics.

This study shows clathrin alone can drive membrane fission in vitro, with stronger assembly leading to weaker fission, suggesting lattice curvature, not just recruitment, drives membrane remodeling.

The paper introduces ioNERDSS, a Python tool that converts 3D atomic structures into coarse-grained models for simulating macromolecular self-assembly.

This paper shows how protein dimerization can enhance or impair DNA target selectivity by redistributing protein populations across the genome, using kinetic models and ChIP-seq data.

The paper develops a bilayer continuum model to predict how lipid composition affects protein curvature sensing in membranes.

This paper introduces a membrane-driven biochemical oscillator that uses volume-to-surface area ratio to tune oscillation periods and validates it through computational and simulation studies.

The study reveals an allosteric mechanism by which the PH domain of ASAP1 enhances Arf1 GTPase activity through structural and dynamic interactions on a membrane surface.

The paper shows that compact lattice growth is favored during membrane remodeling due to lower bending energy costs compared to eccentric lattices.

This study shows that enthalpic stabilization from conformational flexibility enhances 2D dimerization stability in BAR domains, challenging rigid-body estimates of binding affinity.

This paper presents a parallel implementation of the NERDSS software using MPI, achieving near-linear scaling for particle-based reaction-diffusion simulations up to 96 processors.

The paper quantifies protein stoichiometry in clathrin-mediated endocytosis by integrating copy numbers with interaction networks, revealing trends in sub- and super-stoichiometric proteins and their functional implications.

The paper compares different computational methods for simulating cellular biochemistry and identifies discrepancies in results, emphasizing the need for critical evaluation of models.