Noise-induced metastability in biochemical networks
Noise-induced metastability in biochemical networks
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DOI：
10.1103/physreve.86.010106
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发表时间：
2012-07-30
影响因子：
2.4
通讯作者：
McKane, Alan J.
中科院分区：
文献类型：
--
作者：
Biancalani, Tommaso;Rogers, Tim;McKane, Alan J.
细胞内的生化反应表现出丰富的动力学现象，不能解释的框架内的平均场速率方程和加性噪声。在这里，我们表明，亚稳态和根本不同的时间尺度的存在下，是一个广泛的自催化反应网络类的一般功能，这一事实可能会被利用，以获得分析结果。后一点是证明了治疗的典范渡桥金子反应，这在过去的十年里一直抵制理论分析。
Intracellular biochemical reactions exhibit a rich dynamical phenomenology which cannot be explained within the framework of mean-field rate equations and additive noise. Here, we show that the presence of metastable states and radically different time scales are general features of a broad class of autocatalytic reaction networks, and that this fact may be exploited to gain analytical results. The latter point is demonstrated by a treatment of the paradigmatic Togashi-Kaneko reaction, which has resisted theoretical analysis for the last decade.