Model-based global sensitivity analysis as applied to identification of anti-cancer drug targets and biomarkers of drug resistance in the ErbB2/3 network

High levels of variability in cancer-related cellular signalling networks and a lack of parameter identifiability in large-scale network models hamper translation of the results of modelling studies into the process of anti-cancer drug development. Recently global sensitivity analysis (GSA) has been...

Descripción completa

Detalles Bibliográficos
Autores principales: Lebedeva, Galina, Sorokin, Anatoly, Faratian, Dana, Mullen, Peter, Goltsov, Alexey, Langdon, Simon P., Harrison, David J., Goryanin, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science B.V 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398788/
https://www.ncbi.nlm.nih.gov/pubmed/22085636
http://dx.doi.org/10.1016/j.ejps.2011.10.026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398788/
https://www.ncbi.nlm.nih.gov/pubmed/22085636
http://dx.doi.org/10.1016/j.ejps.2011.10.026

Ejemplares similares