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CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
13 years 10 months ago
Kinetic perturbations as robustness analysis tool for biochemical reaction networks
— Models of biochemical reaction networks can be decomposed into a stoichiometric part and a kinetic part. The stoichiometric part describes the structural mass flows while the ...
Steffen Waldherr, Frank Allgöwer, Elling W. J...
EVOW
2009
Springer
13 years 3 months ago
Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective
One of the purposes of Systems Biology is the quantitative modeling of biochemical networks. In this effort, the use of dynamical mathematical models provides for powerful tools in...
Pedro Evangelista, Isabel Rocha, Eugénio C....
RECOMB
2010
Springer
14 years 19 days ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan
KES
2007
Springer
13 years 12 months ago
A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks
Biological systems consist of many components and interactions between them. In Systems Biology the principal problem is modeling complex biological systems and reconstructing inte...
Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, ...
BMCBI
2007
114views more  BMCBI 2007»
13 years 5 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...