Lecca Paola
Microsoft Research, University of Trento, Centre for Computational and System Biology, Italy.
Int J Data Min Bioinform. 2007;1(4):315-36. doi: 10.1504/ijdmb.2007.012963.
Realistic simulations of the biological systems evolution require a mathematical model of the stochasticity of the involved processes and a formalism for specifying the concurrent nature of the biochemical interactions. A time-dependent extension of the Gillespie algorithm implementing the race condition of the stochastic pi-calculus formalism satisfies both these requirements. This paper formulates those modifications to the original Gillespie algorithm necessary when the time dependence of the reaction propensity is due to changes either of volume or temperature. This re-formulation has been incorporated in the framework of stochastic pi-calculus and has been applied to simulate the passive glucose cellular transport.
对生物系统进化进行逼真的模拟需要一个涉及过程随机性的数学模型以及一种用于指定生化相互作用并发性质的形式体系。实现随机π演算形式体系竞争条件的 Gillespie 算法的时间相关扩展满足了这两个要求。本文阐述了当初始反应倾向的时间依赖性是由于体积或温度变化时,对原始 Gillespie 算法所必需的那些修改。这种重新表述已被纳入随机π演算的框架,并已应用于模拟被动葡萄糖细胞转运。