Cargando…
Computational discovery of dynamic cell line specific Boolean networks from multiplex time-course data
Protein signaling networks are static views of dynamic processes where proteins go through many biochemical modifications such as ubiquitination and phosphorylation to propagate signals that regulate cells and can act as feed-back systems. Understanding the precise mechanisms underlying protein inte...
Autores principales: | Razzaq, Misbah, Paulevé, Loïc, Siegel, Anne, Saez-Rodriguez, Julio, Bourdon, Jérémie, Guziolowski, Carito |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224120/ https://www.ncbi.nlm.nih.gov/pubmed/30372442 http://dx.doi.org/10.1371/journal.pcbi.1006538 |
Ejemplares similares
-
Therapeutic target discovery using Boolean network attractors: improvements of kali
por: Poret, Arnaud, et al.
Publicado: (2018) -
Identification of bifurcation transitions in biological regulatory networks using Answer-Set Programming
por: Fitime, Louis Fippo, et al.
Publicado: (2017) -
caspo: a toolbox for automated reasoning on the response of logical signaling networks families
por: Videla, Santiago, et al.
Publicado: (2017) -
Predicting weighted unobserved nodes in a regulatory network using answer set programming
por: Le Bars, Sophie, et al.
Publicado: (2023) -
Extended notions of sign consistency to relate experimental data to signaling and regulatory network topologies
por: Thiele, Sven, et al.
Publicado: (2015)