Abstract
We describe our approach to modeling timing of cell signaling systems in which existing information about the system spans from detailed mechanistic knowledge to much coarser observations about cause and effect. The results for several models emphasize the fact that the selection of timing implementation can have both qualitative and quantitative effects on the model’s transient behavior and its steady state.
This work is supported in part by DARPA award W911NF-14-1-0422.
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Miskov-Zivanov, N., Wei, P., Loh, C.S.C. (2014). THiMED: Time in Hierarchical Model Extraction and Design. In: Mendes, P., Dada, J.O., Smallbone, K. (eds) Computational Methods in Systems Biology. CMSB 2014. Lecture Notes in Computer Science(), vol 8859. Springer, Cham. https://doi.org/10.1007/978-3-319-12982-2_22
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DOI: https://doi.org/10.1007/978-3-319-12982-2_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12981-5
Online ISBN: 978-3-319-12982-2
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