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Research Article
Assessing Numerical Resolution Methods Performance for Kinetic Models of Receptors and Channels
Author(s): Merdan Sarmis, Jean-Marie C Bouteiller, Nicolas Ambert, Arnaud Legendre, Serge Bischoff, Olivier Haeberlé and Michel BaudryMerdan Sarmis, Jean-Marie C Bouteiller, Nicolas Ambert, Arnaud Legendre, Serge Bischoff, Olivier Haeberlé and Michel Baudry
In systems biology, systems of kinetic reactions are generally used to model and simulate various biochemical pathways. These reactions are translated into ordinary differential equations, which are computationally resolved by numerical algorithms. Computation performance, defined by how fast the algorithm converges to a numerical solution of the system of ordinary differential equations, critically depends on the choice of the appropriate algorithm. In this paper, we compared several algorithms used to solve ordinary differential equations applied to several kinetic models that describe the dynamic behavior of receptors and ion channels found in chemical synapses of the Central Nervous System; we provide a simplified method to determine the performances of these ordinary differential equation solvers, in order to provide a benchmark for algorithm selectio.. Read More»
DOI:
10.4172/jcsb.1000112
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report