2014/10/23 by Martin Peifer, Peifer, Martin, Jens Timmer +3
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Biological Physics (physics.bio-ph) #Cytokine Signaling Pathways and Interactions #FOS: Biological sciences #FOS: Physical sciences #Gene Regulatory Network Analysis #Mathematical Biology Tumor Growth #Molecular Networks (q-bio.MN)
paper · pdf · doi:10.48550/arxiv.1410.6341
openalex publication_date 2014/10/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In systems biology effective models are widely used due to the complexity of biological system. They result from a coarse-graining process which employs specific assumptions. Frequently one does not start with a model taking all details into account and then performs a coarse-graining process, but rather one starts right away with the effective equations and often the underlying assumptions remain hidden or unclear. We exemplify the analysis of an effective model by analyzing a time delay equation for the JAK/STAT5 signaling pathway and show how one can avoid wrong conclusions and obtain a deeper understanding of the biological system . By analyzing the assumptions leading to a coarse-grained model one might be able to gain new insight into the involved biological processes. Further, the compliance of the model with experimental data can be considered as a validation of the assumptions made in the derivation of the mathematical equations.