iSSA: An incremental stochastic simulation algorithm for genetic circuits
iSSA: An incremental stochastic simulation algorithm for genetic circuits
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iSSA：遗传电路的增量随机模拟算法
DOI：
10.1109/iscas.2010.5537539
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
C. Myers
中科院分区：
文献类型：
--
作者：
C. Winstead;C. Madsen;C. Myers
研究人员现在正在开发合成基因电路来操纵活细胞内的生化过程。为了建模和预测这些电路的行为，设计者必须考虑许多化学物质和遗传成分之间的众多反应。遗传电路的分析是复杂的，因为小分子计数和零星的基因表达使得随机模拟成为必要。然而，对随机模拟运行集合的统计检查可能隐藏重要行为。为了解决这个问题，本文介绍了一种新的方法，称为增量随机模拟算法（ISSA），确定统计的典型行为。本文阐述了该算法的实用程序的昼夜节律模型和模型的合成双反馈基因振荡器。
Researchers are now developing synthetic genetic circuits to manipulate the biochemical processes within living cells. In order to model and predict the behavior of these circuits, the designer must account for numerous reactions among many chemical species and genetic components. The analysis of genetic circuits is complicated by the fact that small molecule counts and sporadic gene expression makes stochastic simulation necessary. However, the examination of statistics on ensembles of stochastic simulation runs can hide important behavior. To address this problem, this paper introduces a new method called the incremental stochastic simulation algorithm (iSSA) which determines statistics on typical behavior. This paper illustrates the utility of this algorithm on a circadian rhythm model and a model of a synthetic dual-feedback genetic oscillator.