Angermann Bastian R, Meier-Schellersheim Martin
Computational Biology Section, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Methods Mol Biol. 2019;1945:161-177. doi: 10.1007/978-1-4939-9102-0_7.
Mechanistic models are an important tool to gain insights about the quantitative behavior of cell-biological signal transduction networks. Here we show how Simmune can be used in conjunction with IPython to create repeatable, self-contained analyses of signal transduction processes in spatially inhomogeneous environments.
机理模型是深入了解细胞生物学信号转导网络定量行为的重要工具。在此,我们展示了如何将Simmune与IPython结合使用,以对空间非均匀环境中的信号转导过程进行可重复的、独立的分析。