From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation

Gene regulation, affected by random molecular fluctuations, is often modeled assuming DNA is evenly distributed in the nucleus—an unrealistic simplification. We found that when key molecules move slowly, these models fail unless uneven spatial distribution is included, which slows simulations. We explored simplification techniques to speed up the process while keeping accuracy. This study stresses the need for tools balancing efficiency and precision in modeling gene regulation with spatial differences.

From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation

Monday, July 14 at 6:00pm

Seok Joo Chae

"From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation"

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