Stoichiometric gene-to-reaction associations enhance model-driven analysis performance: Metabolic response to chronic exposure to Aldrin in prostate cancer

BACKGROUND: Genome-scale metabolic models (GSMM) integrating transcriptomics have been widely used to study cancer metabolism. This integration is achieved through logical rules that describe the association between genes, proteins, and reactions (GPRs). However, current gene-to-reaction formulation...

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Detalles Bibliográficos
Autores principales: Marín de Mas, Igor, Torrents, Laura, Bedia, Carmen, Nielsen, Lars K., Cascante, Marta, Tauler, Romà
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694502/
https://www.ncbi.nlm.nih.gov/pubmed/31416420
http://dx.doi.org/10.1186/s12864-019-5979-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694502/
https://www.ncbi.nlm.nih.gov/pubmed/31416420
http://dx.doi.org/10.1186/s12864-019-5979-4

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