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Efficient Attractor Analysis Based on Self-Dependent Subsets of Elements-An Application to Signal Transduction Studies

机译:基于元素的自相关子集的高效吸引子分析 - 一种信号转导研究的应用

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External signals are transmitted to the cells through receptors activating signal transduction pathways. These pathways form a complicated interconnected network, which is able to answer to different stimuli. Here we analyze an important pathway for oncogenesis namely RAS/MAPK signal transduction pathway. We show that the interaction of the elements of this pathway induces topological structure in the element set and that the knowledge of the topology simplifies the analysis of the set. With a computer algorithm, we isolate from a large and complex group, smaller, independent, more manageable subsets, and build their hierarchy. Subsets introduction makes easier the search for attractors in discrete dynamical system, it permits the prediction of final states for elements involved in signal transduction pathways.
机译:通过激活信号转导途径通过受体传输到单元的外部信号。这些途径形成了一个复杂的互联网络,能够应答不同的刺激。在这里,我们分析了肿瘤发生的重要途径即RAS / MAPK信号转导途径。我们表明,该途径的元素的相互作用在元素集中引起拓扑结构,并且拓扑的知识简化了该集合的分析。通过计算机算法,我们将从大型和复杂的组,较小,独立,更多可管理的子集隔离,并构建其层次结构。子集简介使得更容易搜索离散动态系统中的吸引子,它允许预测信号转导途径中涉及的元素。

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