about
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networksComputational modelling of the receptor-tyrosine-kinase-activated MAPK pathwayRegPhos: a system to explore the protein kinase-substrate phosphorylation network in humansThe signaling petri net-based simulator: a non-parametric strategy for characterizing the dynamics of cell-specific signaling networksUnderstanding the sub-cellular dynamics of silicon transportation and synthesis in diatoms using population-level data and computational optimizationThe Cell Collective: toward an open and collaborative approach to systems biology.Inflammation Following Traumatic Brain Injury in Humans: Insights from Data-Driven and Mechanistic Models into Survival and DeathRapidly exploring structural and dynamic properties of signaling networks using PathwayOracle.Construction of a large scale integrated map of macrophage pathogen recognition and effector systems.The mEPN scheme: an intuitive and flexible graphical system for rendering biological pathways.Economic game theory for mutualism and cooperation.Computational approaches for modeling regulatory cellular networks.Bio-logic builder: a non-technical tool for building dynamical, qualitative models.Signaling network prediction by the Ontology Fingerprint enhanced Bayesian network.Comparison of models for IP3 receptor kinetics using stochastic simulations.In silico modeling of Itk activation kinetics in thymocytes suggests competing positive and negative IP4 mediated feedbacks increase robustness.Comparison of human cell signaling pathway databases--evolution, drawbacks and challenges.Mathematical modeling as a tool for investigating cell cycle control networks.Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasetsModels at the single cell level.RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals.Reaction-diffusion modeling ERK- and STAT-interaction dynamics.Systems pharmacology and enhanced pharmacodynamic models for understanding antibody-based drug action and toxicity.Dynamics of growth factor production in monolayers of cancer cells and evolution of resistance to anticancer therapies.An optimal number of molecules for signal amplification and discrimination in a chemical cascade.Evolutionary game theory of growth factor production: implications for tumour heterogeneity and resistance to therapies.Modulation of gap junction-associated Cx43 in neural stem/progenitor cells following traumatic brain injury.Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Modeling cell signaling networks
@ast
Modeling cell signaling networks
@en
Modeling cell signaling networks
@nl
type
label
Modeling cell signaling networks
@ast
Modeling cell signaling networks
@en
Modeling cell signaling networks
@nl
prefLabel
Modeling cell signaling networks
@ast
Modeling cell signaling networks
@en
Modeling cell signaling networks
@nl
P2860
P3181
P1433
P1476
Modeling cell signaling networks
@en
P2093
Narat J Eungdamrong
Ravi Iyengar
P2860
P304
P3181
P356
10.1016/J.BIOLCEL.2004.03.004
P407
P577
2004-06-01T00:00:00Z