Generalized logical model based on network topology to capture the dynamical trends of cellular signaling pathways
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- 作者：Fan Zhang ; Haoting Chen ; Li Na Zhao ; Hui Liu ; Teresa M. Przytycka…
- 关键词：Generalized logical model ; Signaling pathways ; Dynamical system ; Cancer
- 刊名：BMC Systems Biology
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：10
- 期：1-supp
- 全文大小：1,141 KB
- 刊物主题：Bioinformatics; Systems Biology; Simulation and Modeling; Computational Biology/Bioinformatics; Physiological, Cellular and Medical Topics; Algorithms;
- 出版者：BioMed Central
- ISSN：1752-0509
文摘
Background Cellular responses to extracellular perturbations require signaling pathways to capture and transmit the signals. However, the underlying molecular mechanisms of signal transduction are not yet fully understood, thus detailed and comprehensive models may not be available for all the signaling pathways. In particular, insufficient knowledge of parameters, which is a long-standing hindrance for quantitative kinetic modeling necessitates the use of parameter-free methods for modeling and simulation to capture dynamic properties of signaling pathways.