Explaining Nucleoprotein Polymerization Mass Photometry Data with Stochastic Modeling
POSTER
Abstract
RAD51 proteins bind to single-stranded DNA and are assembled into cooperative nucleoprotein filaments that are essential in DNA repair. In order to capture the stochastic nature of this process, we developed a Dynamic Monte Carlo simulation that models nucleoprotein polymerization on a DNA lattice.
To connect the simulation with mass photometry data, we applied Expectation-Maximization (EM) and Nonlinear least squares (NLS) fitting to fit Gaussian mixture models to model polymer size distributions.
*NSF EPSCoR Chemurgy 2.0PUI Undergraduate Research Seed Funding
Presenters
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Addison Cunningham
- University of Northern Iowa