米氏动力学在广泛的条件下加快了 tau 飞跃。
Michaelis-Menten speeds up tau-leaping under a wide range of conditions.
机构信息
Department of Computer Science, University of California, Santa Barbara, Santa Barbara, California 93106, USA.
出版信息
J Chem Phys. 2011 Apr 7;134(13):134112. doi: 10.1063/1.3576123.
Abstract
This paper examines the benefits of Michaelis-Menten model reduction techniques in stochastic tau-leaping simulations. Results show that although the conditions for the validity of the reductions for tau-leaping remain the same as those for the stochastic simulation algorithm (SSA), the reductions result in a substantial speed-up for tau-leaping under a different range of conditions than they do for SSA. The reason of this discrepancy is that the time steps for SSA and for tau-leaping are determined by different properties of system dynamics.
摘要
本文探讨了 Michaelis-Menten 模型简化技术在随机 tau 跳跃模拟中的应用。结果表明，尽管 tau 跳跃简化的有效性条件与随机模拟算法（SSA）相同，但在不同的条件范围内，简化对 tau 跳跃的加速效果要优于 SSA。产生这种差异的原因是 SSA 和 tau 跳跃的时间步长取决于系统动力学的不同特性。
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