Explaining Nucleoprotein Polymerization Mass Photometry Data with Stochastic Modeling

Poster-In-person

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.

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Presenters

  • Addison Cunningham

    • University of Northern Iowa

Authors

  • Addison Cunningham

    • University of Northern Iowa
  • Clare Wright

  • Sander Tompkins

  • Ali Tabei

    • University of Northern Iowa