Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/52327
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Do elementary flux modes combine linearly at the "atomic" level? Integrating tracer-based metabolomics data and elementary flux modes |
Autor: | Pey, Jon; Theodoropoulos, Constantinos; Rezola, Alberto; Rubio, Angel CSIC ORCID; Cascante, Marta CSIC ORCID; Planes, Francisco J. | Fecha de publicación: | 2011 | Editor: | Elsevier | Citación: | BioSystems 105(2): 140-146 (2011) | Resumen: | The elementary flux modes (EFMs) approach is an efficient computational tool to predict novel metabolic pathways. Elucidating the physiological relevance of EFMs in a particular cellular state is still an open challenge. Different methods have been presented to carry out this task. However, these methods typically use little experimental data, exploiting methodologies where an a priori optimization function is used to deal with the indetermination underlying metabolic networks. Available > omics> data represent an opportunity to refine current methods. In this article we discuss whether (or not) metabolomics data from isotope labeling experiments (ILEs) and EFMs can be integrated into a linear system of equations. Aside from refining current approaches to infer the physiological relevance of EFMs, this question is important for the integration of metabolomics data from ILEs into metabolic networks, which generally involve non-linear relationships. As a result of our analysis, we concluded that in general the concept of EFMs needs to be redefined at the atomic level for the modeling of ILEs. For this purpose, the concept of Elementary Carbon Modes (ECMs) is introduced. © 2011 Elsevier Ireland Ltd. | URI: | http://hdl.handle.net/10261/52327 | DOI: | 10.1016/j.biosystems.2011.04.005 | Identificadores: | doi: 10.1016/j.biosystems.2011.04.005 issn: 0303-2647 |
Aparece en las colecciones: | (IBMB) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
6
checked on 23-mar-2024
WEB OF SCIENCETM
Citations
4
checked on 25-feb-2024
Page view(s)
284
checked on 28-mar-2024
Download(s)
111
checked on 28-mar-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.