Phenotype prediction in regulated metabolic networks

BACKGROUND: Due to the growing amount of biological knowledge that is incorporated into metabolic network models, their analysis has become more and more challenging. Here, we examine the capabilities of the recently introduced chemical organization theory (OT) to ease this task. Considering only ne...

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Detalles Bibliográficos
Autores principales: Kaleta, Christoph, Centler, Florian, di Fenizio, Pietro Speroni, Dittrich, Peter
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443871/
https://www.ncbi.nlm.nih.gov/pubmed/18439260
http://dx.doi.org/10.1186/1752-0509-2-37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443871/
https://www.ncbi.nlm.nih.gov/pubmed/18439260
http://dx.doi.org/10.1186/1752-0509-2-37

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