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This model describes the central carbon and energy metabolism of E. coli growing under anaerobic conditions. For complete information about the model see: 'Deciphering the physiological response of Escherichia coli under high ATP demand Simon Boecker, Giulia Slaviero, Thorben Schramm, Witold Szyman...
2022-02-13 | MODEL2202020001 | BioModels
Beste2007 - Genome-scale metabolic network of Mycobacterium tuberculosis (GSMN_TB) This model is described in the article: GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism. Beste DJ, Hooper T, Stewart G, Bonde B, Avignone-Rossa C, Bush...
2015-07-30 | MODEL1507180021 | BioModels
Chaouiya2013 - EGF and TNFalpha mediated signalling pathway This model is described in the article: SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools. Chaouiya C, Bérenguier D...
2024-09-02 | BIOMD0000000562 | BioModels
The pro-inflammatory cytokines interleukin 1 (IL-1) and 6 (IL-6) are crucially involved in the regulation of a multitude of physiological processes, in particular coordinating the immune response upon bacterial infection and tissue injury. Both interleukins induce complex signalling cascades and tri...
The pro-inflammatory cytokines interleukin 1 (IL-1) and 6 (IL-6) are crucially involved in the regulation of a multitude of physiological processes, in particular coordinating the immune response upon bacterial infection and tissue injury. Both interleukins induce complex signalling cascades and tri...
Background Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functional capabilities. While the structural analysis of metabolic networks is a well-established field, similar methodologies hav...
The epidermal growth factor receptor (EGFR) signaling pathway is probably the best-studied receptor system in mammalian cells, and it also has become a popular example for employing mathematical modeling to cellular signaling networks. Dynamic models have the highest explanatory and predictive poten...
Cellular decisions are determined by complex molecular interaction networks. Large-scale signaling networks are currently being reconstructed, but the kinetic parameters and quantitative data that would allow for dynamic modeling are still scarce. Therefore, computational studies based upon the stru...
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