Machine learning based analyses on metabolic networks supports high-throughput knockout screens

BACKGROUND: Computational identification of new drug targets is a major goal of pharmaceutical bioinformatics. RESULTS: This paper presents a machine learning strategy to study and validate essential enzymes of a metabolic network. Each single enzyme was characterized by its local network topology,...

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Detalles Bibliográficos
Autores principales: Plaimas, Kitiporn, Mallm, Jan-Phillip, Oswald, Marcus, Svara, Fabian, Sourjik, Victor, Eils, Roland, König, Rainer
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526078/
https://www.ncbi.nlm.nih.gov/pubmed/18652654
http://dx.doi.org/10.1186/1752-0509-2-67

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2526078/
https://www.ncbi.nlm.nih.gov/pubmed/18652654
http://dx.doi.org/10.1186/1752-0509-2-67

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