Cargando…
Computational Analyses of Synergism in Small Molecular Network Motifs
Cellular functions and responses to stimuli are controlled by complex regulatory networks that comprise a large diversity of molecular components and their interactions. However, achieving an intuitive understanding of the dynamical properties and responses to stimuli of these networks is hampered b...
Autores principales: | Zhang, Yili, Smolen, Paul, Baxter, Douglas A., Byrne, John H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961176/ https://www.ncbi.nlm.nih.gov/pubmed/24651495 http://dx.doi.org/10.1371/journal.pcbi.1003524 |
Ejemplares similares
-
Computational model of a positive BDNF feedback loop in hippocampal neurons following inhibitory avoidance training
por: Zhang, Yili, et al.
Publicado: (2016) -
Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2
por: Zhang, Yili, et al.
Publicado: (2022) -
Biphasic Regulation of p38 MAPK by Serotonin Contributes to the Efficacy of Stimulus Protocols That Induce Long-Term Synaptic Facilitation
por: Zhang, Yili, et al.
Publicado: (2017) -
Computational Design of Enhanced Learning Protocols
por: Zhang, Yili, et al.
Publicado: (2011) -
Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive Model
por: Smolen, Paul, et al.
Publicado: (2012)