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Compositionality results for cardiac cell dynamics

  • Md Ariful Islam
  • , Abhishek Murthy
  • , Ezio Bartocci
  • , Antoine Girard
  • , Scott A. Smolka
  • , Radu Grosu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We show that the 13-state sodium channel component of the Iyer et al. cardiac cell model can be replaced with a previously identified δ-bisimilar 2-state Hodgkin Huxley-type abstraction by appealing to a small gain theorem. To prove this feedback compositionality result, we construct quadratic-polynomial exponentially decaying bisimulation functions between the two sodium channel models and also for the rest of a simplified version of the Iyer et al. model using the SOSTOOLS tool-box. Our experimental results validate the analytical ones. To the best of our knowledge, this is the first application of δ-bisimilar, feedbackassisting, compositional reasoning in biological systems.

Original languageEnglish
Title of host publicationComputational Methods in Systems Biology - 11th International Conference, CMSB 2013, Proceedings
Pages242-244
Number of pages3
StatePublished - 2013
Event11th International Conference on Computational Methods in Systems Biology, CMSB 2013 - Klosterneuburg, Austria
Duration: Sep 22 2013Sep 24 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8130 LNBI

Conference

Conference11th International Conference on Computational Methods in Systems Biology, CMSB 2013
Country/TerritoryAustria
CityKlosterneuburg
Period09/22/1309/24/13

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