Cargando…
Moving ahead on harnessing synthetic lethality to fight cancer
We have recently developed a data-mining pipeline that comprehensively identifies cancer unique susceptibilities, following the concept of Synthetic Lethality (SL). The approach enables, for the first time, to identify and harness genome-scale SL-networks to accurately predict gene essentiality, dru...
Autores principales: | Jerby-Arnon, Livnat, Ruppin, Eytan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4904895/ https://www.ncbi.nlm.nih.gov/pubmed/27308440 http://dx.doi.org/10.4161/23723556.2014.977150 |
Ejemplares similares
-
Harnessing synthetic lethality to predict the response to cancer treatment
por: Lee, Joo Sang, et al.
Publicado: (2018) -
Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism
por: Jerby, Livnat, et al.
Publicado: (2010) -
NKp44L: A new tool for fighting cancer
por: Vieillard, Vincent, et al.
Publicado: (2014) -
Predicting selective drug targets in cancer through metabolic networks
por: Folger, Ori, et al.
Publicado: (2011) -
Predicting selective drug targets in cancer through metabolic networks
por: Folger, Ori, et al.
Publicado: (2011)