Gillespie Simulation of Rare Events in a Genetic Regulatory Network

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초록

We perform a Gillespie simulation for a simple auto-catalytic gene regulatory network with a positive feedback loop. The chemical master equation for the same model has been solved directly, and after a transient period, proteins were shown to go extinct due to a rare event. We find these features are reproduced with the Gillespie simulation, and the time-dependent frequency of protein numbers shows excellent agreement with the time-dependent probability obtained by solving the master equation directly. The reproduction of the probability for a rare event with the Gillespie simulation reconfirms the feasibility of using the method for modelling the stochastic dynamics of more complex gene regulatory networks, where the direct solution of the master equation is no longer feasible due to computational costs. © 2019, The Korean Physical Society.

키워드

Gene regulatory network; Markov chain; Monte Carlo simulation; Stochastic processes
제목
Gillespie Simulation of Rare Events in a Genetic Regulatory Network
저자
Kim, Y.J.; Lee, J.; Lee, J.
DOI
10.3938/jkps.74.907
발행일
2019-05
유형
Article
저널명
Journal of the Korean Physical Society
권
74
호
9
페이지
907 ~ 911