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» Automated modelling of signal transduction networks
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BMCBI
2007
136views more  BMCBI 2007»
13 years 11 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...
BMCBI
2006
122views more  BMCBI 2006»
13 years 11 months ago
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks
Background:Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinator...
Holger Conzelmann, Julio Saez-Rodriguez, Thomas Sa...
IJON
2006
112views more  IJON 2006»
13 years 10 months ago
Comparison of automated parameter estimation methods for neuronal signaling networks
This work is a suitability study of the different optimization methods for automated parameter estimation (fitting) in the context of neuronal signaling networks. The Gepasi simul...
Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne
BIB
2008
93views more  BIB 2008»
13 years 11 months ago
A structured approach for the engineering of biochemical network models, illustrated for signalling pathways
Quantitative models of biochemical networks (signal transduction cascades, metabolic pathways, gene regulatory circuits) are a central component of modern systems biology. Buildin...
Rainer Breitling, David Gilbert, Monika Heiner, Ri...
CSB
2005
IEEE
163views Bioinformatics» more  CSB 2005»
14 years 4 months ago
A symbolic approach to the simulation of biochemical models: application to circadian rhythms
Symbolic rewriting systems are gaining interest as tools for simulating biochemical dynamics. Compared to traditional methods based on differential equations, the symbolic approac...
Federico Fontana, Luca Bianco, Vincenzo Manca