Reduced modeling of signal transduction – a modular approach
Open Access
- 13 September 2007
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 8 (1) , 336
- https://doi.org/10.1186/1471-2105-8-336
Abstract
Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively and a lot of progress has been made within the last few years. A software tool (BioNetGen) was developed which allows an automatic rule-based set-up of mechanistic model equations. In many cases these models can be reduced by an exact domain-oriented lumping technique. However, the resulting models can still consist of a very large number of differential equations.Keywords
This publication has 54 references indexed in Scilit:
- Why Diabetes Incidence Increases—A Unifying TheoryAnnals of the New York Academy of Sciences, 2006
- Central insulin action in energy and glucose homeostasisJournal of Clinical Investigation, 2006
- Critical nodes in signalling pathways: insights into insulin actionNature Reviews Molecular Cell Biology, 2006
- Modular analysis of signal transduction networksIEEE Control Systems, 2004
- An Approach for Dividing Models of Biological Reaction Networks into Functional UnitsSIMULATION, 2003
- Assembly of Cell Regulatory Systems Through Protein Interaction DomainsScience, 2003
- Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptorsNature Biotechnology, 2002
- Insulin signalling and the regulation of glucose and lipid metabolismNature, 2001
- Insulin Receptor Binding Kinetics: Modeling and Simulation StudiesJournal of Theoretical Biology, 2000
- Predicting Temporal Fluctuations in an Intracellular Signalling PathwayJournal of Theoretical Biology, 1998