A High-Performance Multicompartment Stochastic Simulator for Executable Biology

نویسنده

  • Jamie Twycross
چکیده

In this paper we describe a high-performance multicompartment stochastic simulator called mcss which we have developed and are using to execute large-scale systems biology models. Our eventual goal is to be able to simulate multiscale systems biology models containing millions of compartments each of them hosting large biological regulatory networks. We show that mcss is able to accurately and efficiently simulate a number of benchmark biochemical models. Keywords-stochastic simulation, P systems, multicompartment, executable biology, systems biology

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تاریخ انتشار 2009