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» Automated modelling of signal transduction networks
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BMCBI
2002
214views more  BMCBI 2002»
13 years 4 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...
IJON
2006
123views more  IJON 2006»
13 years 4 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
CIS
2004
Springer
13 years 10 months ago
Representation of the Signal Transduction with Aberrance Using Ipi Calculus
The pi calculus has been applied to modelling biochemical networks. In these applications, the modelling is done without considerations to exceptions. The Ipi calculus, the Interfe...
Min Zhang, Guoqiang Li, Yuxi Fu, Zhizhou Zhang, Li...
BMCBI
2007
140views more  BMCBI 2007»
13 years 4 months ago
Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on
Background: A number of studies on biological networks have been carried out to unravel the topological characteristics that can explain the functional importance of network nodes...
Yung-Keun Kwon, Sun Shim Choi, Kwang-Hyun Cho
BMCBI
2006
205views more  BMCBI 2006»
13 years 4 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