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Network models in the study of metabolism Electron. J. Biotechnol.
Rodríguez,Arsenio; Infante,Diogenes.
The systematic study of the genetic fingerprint (genomics) and the biochemistry (metabolites) that goes with a specific cellular process requires the characterization of all the small molecules that form the profile of metabolites and the associated genes. The metabolome represents the collection of all the metabolites during certain process in an organism. The transcriptome represents the gene expression profile, all the messengers RNA in a defined condition. Then to understand the whole process, the studies of metabolites must be accompanied with studies of the gene expression, hence the metabolome must be accompanied by the transcriptome, so we can identify genes and metabolites whose synthesis is induced by a specific process, an infection or stress....
Tipo: Journal article Palavras-chave: Graph theory; Metabolic networks; Metabolomic.
Ano: 2009 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582009000400011
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Complex networks: the key to systems biology Genet. Mol. Biol.
Costa,Luciano da F.; Rodrigues,Francisco A.; Cristino,Alexandre S..
Though introduced recently, complex networks research has grown steadily because of its potential to represent, characterize and model a wide range of intricate natural systems and phenomena. Because of the intrinsic complexity and systemic organization of life, complex networks provide a specially promising framework for systems biology investigation. The current article is an up-to-date review of the major developments related to the application of complex networks in biology, with special attention focused on the more recent literature. The main concepts and models of complex networks are presented and illustrated in an accessible fashion. Three main types of networks are covered: transcriptional regulatory networks, protein-protein interaction networks...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bioinformatics; Complex networks; Metabolic networks; Protein-protein networks; Systems biology; Transcription networks.
Ano: 2008 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572008000400001
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