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Computational identification of optimal multi target drug intervention strategies for combination theory

Lu, J. ; Grass, P. ; Koeppl, H. (2011):
Computational identification of optimal multi target drug intervention strategies for combination theory.
p. 132, Zurich, Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zurich, Switzerland, [Conference or Workshop Item]

Abstract

Combination drug intervention strategies offer the potential to tackle the problems of side effects and resistance mechanisms. We propose a methodology that incorporates robustness into the identified intervention strategy in order to counteract the inevitable variability in physiological settings. We show that in order to attain the goals in a robust manner, multiple nodes need to be inhibited

Item Type: Conference or Workshop Item
Erschienen: 2011
Creators: Lu, J. ; Grass, P. ; Koeppl, H.
Title: Computational identification of optimal multi target drug intervention strategies for combination theory
Language: English
Abstract:

Combination drug intervention strategies offer the potential to tackle the problems of side effects and resistance mechanisms. We propose a methodology that incorporates robustness into the identified intervention strategy in order to counteract the inevitable variability in physiological settings. We show that in order to attain the goals in a robust manner, multiple nodes need to be inhibited

Place of Publication: Zurich
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Event Title: Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zurich, Switzerland
Date Deposited: 04 Apr 2014 12:24
URL / URN: http://www.wcsb2011.ethz.ch/programme
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