Skip to Main content Skip to Navigation
Journal articles

Implementing biological hybrid systems: Allowing composition and avoiding stiffness

Rodrigo Assar 1, 2, * David James Sherman 3, 4
* Corresponding author
3 MAGNOME - Models and Algorithms for the Genome
CNRS - Centre National de la Recherche Scientifique : UMR5800, UB - Université de Bordeaux, Inria Bordeaux - Sud-Ouest
Abstract : The theory of hybrid systems allows us to model biological functions with many interactive processes, describe complexity and hierarchy levels, and consider behavior law changes. However, we need to develop an implementation to simulate these models. The BioRica framework allows a non-ambiguous implementation, and, as shown here, the QSS method (Quantized States Systems) helps us to approach complex systems in a more efficient way. This method allows us to numerically solve stiff differential equations by separately choosing the temporal partition for each sub-model and variable, depending on how fast it changes over time. With that, one obtains more accurate solutions and decreases the number of computations compared to classic methods. Moreover, QSS does not need to store trajectories and interpolate when mode transitions occur between partition times. Herein, we exhibit a translation from BioRica to QSS models, which preserves the semantics. We implement QSS method with BioRica, and illustrate with applications in Biology, the Tyson model of cell cycle, and examples in Engineering.
Complete list of metadata

https://hal.inria.fr/hal-00853997
Contributor : David James Sherman <>
Submitted on : Monday, August 26, 2013 - 10:03:21 AM
Last modification on : Thursday, February 11, 2021 - 2:54:03 PM

Identifiers

  • HAL Id : hal-00853997, version 1

Citation

Rodrigo Assar, David James Sherman. Implementing biological hybrid systems: Allowing composition and avoiding stiffness. Applied Mathematics and Computation, Elsevier, 2013. ⟨hal-00853997⟩

Share

Metrics

Record views

302