Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
PERUMAL, Thanneer Malai ; National University of Singapore > Chemical and Biomolecular Engineering
Wu, Y.
Gunawan, R.
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Robustness analysis of cellular systems for in silico drug discovery
Date de publication/diffusion :
2008
Nom de la manifestation :
17th IFAC World Congress,
Organisateur de la manifestation :
International Federation of Automatic Control
Lieu de la manifestation :
Seoul, Corée du Sud
Date de la manifestation :
06-07-2008 to 11-07-2008
Manifestation à portée :
International
Références de l'abstract :
Biological robustness has been recognized as a fundamental organizational principle in cellular behavior. The understanding of robustness trade-off in biology has significant implications in the drug discovery research. Some diseases such as cancer can hijack cellular robustness complicating their treatment. Most of the published robustness analyses in systems biology relate this property to the output parametric sensitivity. A new analysis is proposed in which the sensitivities are evaluated for perturbations on the system states rather than on the model parameters. The result of this analysis can be directly validated in experiments, and further used in the drug discovery research to understand drug effects, to optimize drug dosing and timing, and to identify potential molecules as drug targets. The application to a model of cell death regulation shows the biological insights offered by this analysis.
