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» Reduced modeling of signal transduction - a modular approach
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BMCBI
2007
136views more  BMCBI 2007»
13 years 5 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 5 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
123views more  IJON 2006»
13 years 5 months ago
A novel approach to model neuronal signal transduction using stochastic differential equations
We introduce a new approach to model the behavior of neuronal signal transduction networks using stochastic differential equations. We present first a mathematical formulation for...
Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen
BMCBI
2006
205views more  BMCBI 2006»
13 years 5 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch
BMCBI
2002
214views more  BMCBI 2002»
13 years 5 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...