Mining DNA microarray data using a novel approach based on graph theory.
FEBS Lett
; 509(2): 230-4, 2001 Dec 07.
Article
em En
| MEDLINE
| ID: mdl-11741594
ABSTRACT
The recent demonstration that biochemical pathways from diverse organisms are arranged in scale-free, rather than random, systems [Jeong et al., Nature 407 (2000) 651-654], emphasizes the importance of developing methods for the identification of biochemical nexuses--the nodes within biochemical pathways that serve as the major input/output hubs, and therefore represent potentially important targets for modulation. Here we describe a bioinformatics approach that identifies candidate nexuses for biochemical pathways without requiring functional gene annotation; we also provide proof-of-principle experiments to support this technique. This approach, called Nexxus, may lead to the identification of new signal transduction pathways and targets for drug design.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Impressões Digitais de DNA
/
Biologia Computacional
/
Análise de Sequência com Séries de Oligonucleotídeos
/
Modelos Teóricos
Idioma:
En
Revista:
FEBS Lett
Ano de publicação:
2001
Tipo de documento:
Article
País de afiliação:
Estados Unidos