判定生物网络行为的动态逻辑方法
A dynamic logic method for determining behaviors of biological networks
摘要：
将Kauffman和Thomas的逻辑运算与分子间相互作用参数相结合，发展了一种分析细胞分子网络的动态逻辑方法。逻辑运算表征了生物组分之间的离散相互作用。相互作用参数（例如响应时间）描述定量动力学。两者的结合定量表征了离散的生物相互作用。分析了一些简单的网络。主要成果包括：证明了网络的混沌状态和振荡行为的判定定理，说明了时滞对振荡结构的重要性，证明了单变量网络不具有混沌行为，并解释了为什么一个信号可以有多个响应。此外，我们将本方法应用于芽殖酵母细胞的MAPK级联、前馈环和有丝分裂周期的分析。
英文摘要：
A dynamic logic method was developed to analyze molecular networks of cells by combining Kauffman and Thomas's logic operations with molecular interaction parameters. The logic operations characterize the discrete interactions between biological components. The interaction parameters (e.g. response times) describe the quantitative kinetics. The combination of the two quantitatively characterizes the discrete biological interactions. A number of simple networks were analyzed. The main results include: we proved the theorems to determine bistable states and oscillation behaviors of networks, we showed that time delays are essential for oscillation structures, we proved that single variable networks do not have chaotic behaviors, and we explained why one signal can have multiply responses. In addition, we applied the present method to the analysis of the MAPK cascade, feed-forward loops, and mitosis cycle of budding yeast cells.
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