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Robustness analysis of cellular systems for in silico drug discovery

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

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
StatePublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: Jul 6 2008Jul 11 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period07/6/0807/11/08

Keywords

  • Cellular, metabolic, cardiovascular, neurosystems
  • Dynamics and control
  • Kinetic modelling and control of biological systems

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