Cargando…
QSSPN: dynamic simulation of molecular interaction networks describing gene regulation, signalling and whole-cell metabolism in human cells
Motivation: Dynamic simulation of genome-scale molecular interaction networks will enable the mechanistic prediction of genotype–phenotype relationships. Despite advances in quantitative biology, full parameterization of whole-cell models is not yet possible. Simulation methods capable of using avai...
Autores principales: | Fisher, Ciarán P., Plant, Nicholas J., Moore, J. Bernadette, Kierzek, Andrzej M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3842758/ https://www.ncbi.nlm.nih.gov/pubmed/24064420 http://dx.doi.org/10.1093/bioinformatics/btt552 |
Ejemplares similares
-
Multi-scale, whole-system models of liver metabolic adaptation to fat and sugar in non-alcoholic fatty liver disease
por: Maldonado, Elaina M., et al.
Publicado: (2018) -
Integration of Genome Scale Metabolic Networks and Gene Regulation of Metabolic Enzymes With Physiologically Based Pharmacokinetics
por: Maldonado, Elaina M., et al.
Publicado: (2017) -
Generation of 2,000 breast cancer metabolic landscapes reveals a poor prognosis group with active serotonin production
por: Leoncikas, Vytautas, et al.
Publicado: (2016) -
MUFINS: multi-formalism interaction network simulator
por: Wu, Huihai, et al.
Publicado: (2016) -
Lineage grammars: describing, simulating and analyzing population dynamics
por: Spiro, Adam, et al.
Publicado: (2014)