Journal of Computer Science & Systems Biology

Orjuela R

Publications

• Review Article
  Stability Constraints of Markov State Kinetic Models Based on Routh- Hurwitz Criterion
  Author(s): Sarmis M, Orjuela R, Bouteiller JC, Ambert N, Legendre A, Bischoff S, Haeberlé O and Baudry MSarmis M, Orjuela R, Bouteiller JC, Ambert N, Legendre A, Bischoff S, Haeberlé O and Baudry M
  
  In computational neuroscience, receptors, channels and more generally signaling pathways are often modeled with Markov state models to represent biochemical reactions, which are then implemented with bilinear equations. One of the goals of these models, once calibrated with experimental results is to predict the dynamics of the biological system they represent in response to molecular perturbations and therefore facilitate and enhance the success rate of drug discovery and development. To model receptors under both pathological and physiological conditions, modelers usually modify the ligand association and dissociation parameters in the kinetic model during the optimization phase of model development. However, some parameter values may lead to unstable models, making calibration very difficult, time-consuming and inefficient before performing predictive in silico studies. In order to.. Read More»
  DOI: 10.4172/jcsb.1000204

  Abstract PDF