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Computer Science > Computational Engineering, Finance, and Science

arXiv:1309.0872v1 (cs)
[Submitted on 3 Sep 2013]

Title:Producing a Set of Models for the Iron Homeostasis Network

Authors:Nicolas Mobilia, Alexandre Donzé, Jean Marc Moulis, Éric Fanchon
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Abstract:This paper presents a method for modeling biological systems which combines formal techniques on intervals, numerical simulations and satisfaction of Signal Temporal Logic (STL) formulas. The main modeling challenge addressed by this approach is the large uncertainty in the values of the parameters due to the experimental difficulties of getting accurate biological data. This method considers intervals for each parameter and a formal description of the expected behavior of the model. In a first step, it produces reduced intervals of possible parameter values. Then by performing a systematic search in these intervals, it defines sets of parameter values used in the next step. This procedure aims at finding a sub-space where the model robustly behaves as expected. We apply this method to the modeling of the cellular iron homeostasis network in erythroid progenitors. The produced model describes explicitly the regulation mechanism which acts at the translational level.
Comments: In Proceedings HSB 2013, arXiv:1308.5724
Subjects: Computational Engineering, Finance, and Science (cs.CE); Logic in Computer Science (cs.LO); Molecular Networks (q-bio.MN)
Cite as: arXiv:1309.0872 [cs.CE]
  (or arXiv:1309.0872v1 [cs.CE] for this version)
  https://doi.org/10.48550/arXiv.1309.0872
Journal reference: EPTCS 125, 2013, pp. 92-98
Related DOI: https://doi.org/10.4204/EPTCS.125.7

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 3 Sep 2013 23:41:44 UTC (26 KB)
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