Cargando…
In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer
Constraint-based modeling for genome-scale metabolic networks has emerged in the last years as a promising approach to elucidate drug targets in cancer. Beyond the canonical biosynthetic routes to produce biomass, it is of key importance to focus on metabolic routes that sustain the proliferative ca...
Autores principales: | Pey, Jon, San José-Eneriz, Edurne, Ochoa, María Carmen, Apaolaza, Iñigo, de Atauri, Pedro, Rubio, Angel, Cendoya, Xabier, Miranda, Estíbaliz, Garate, Leire, Cascante, Marta, Carracedo, Arkaitz, Agirre, Xabier, Prosper, Felipe, Planes, Francisco J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662602/ https://www.ncbi.nlm.nih.gov/pubmed/29084986 http://dx.doi.org/10.1038/s41598-017-14067-8 |
Ejemplares similares
-
An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
por: Apaolaza, Iñigo, et al.
Publicado: (2017) -
COBRA methods and metabolic drug targets in cancer
por: Apaolaza, Iñigo, et al.
Publicado: (2017) -
A network-based approach to integrate nutrient microenvironment in the prediction of synthetic lethality in cancer metabolism
por: Apaolaza, Iñigo, et al.
Publicado: (2022) -
BOSO: A novel feature selection algorithm for linear regression with high-dimensional data
por: Valcárcel, Luis V., et al.
Publicado: (2022) -
Identifying Lethal Dependencies with HUGE Predictive Power
por: Gimeno, Marian, et al.
Publicado: (2022)