Bayesian Network Approach to Cell Signaling Pathway Modeling
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Summary
The application of Bayesian networks to an example cellular pathway involving the activation of focal adhesion kinase and extracellular signal-regulated kinase in response to fibronectin binding to an integrin is illustrated.
- Type
- article
- Published
- 2002-09-03
- Cited by
- 146
- References
- 22
- OpenAlex
- https://openalex.org/W1988545801
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1302314
Keywords
Focal adhesion, Computer science, MAPK/ERK pathway, Signal transduction, Computational biology
References
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- Quantitative Relationship among Integrin-Ligand Binding, Adhesion, and Signaling via Focal Adhesion Kinase and Extracellular Signal-regulated Kinase 2*
- Principled computational methods for the validation discovery of genetic regulatory networks
- A Bayesian method for the induction of probabilistic networks from data
- Integrin-mediated signal transduction linked to Ras pathway by GRB2 binding to focal adhesion kinase
- Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks
- Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors
- Using Bayesian Networks to Analyze Expression Data
- Shape-dependent control of cell growth, differentiation, and apoptosis: switching between attractors in cell regulatory networks.
- Bioengineering models of cell signaling.
- The adaptor protein Shc couples a class of integrins to the control of cell cycle progression.
- Evidence for in vivo phosphorylation of the Grb2 SH2-domain binding site on focal adhesion kinase by Src-family protein-tyrosine kinases
- A new approach to decoding life: systems biology.
- Integrin-mediated Activation of MAP Kinase Is Independent of FAK: Evidence for Dual Integrin Signaling Pathways in Fibroblasts
- Rich probabilistic models for gene expression
- Protein-tyrosine kinases.
- A Tutorial on Learning with Bayesian Networks
Cited by
- Identification of Relevant Protein-Gene Associations by Integrating Gene Expression Data and Transcriptional Regulatory Networks.
- Integrated Inference and Analysis of Regulatory Networks from Multi-Level Measurements
- Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity
- Engineered cell-based therapies: a vanguard of design-driven medicine.
- Insulin signaling dynamics in human adipocytes : Mathematical modeling reveals mechanisms of insulin resistance in type 2 diabetes
- Zooming out of membrane graph transformation systems
- A Study Of Cell Growth, Division And Programmed Differentiation By Simulation And Experiments.
- USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION
- Spatially resolving the dynamics and structure of protein networks in adhesion sites
- Algorithms for Internal Validation Clustering Measures in the Post Genomic Era
- Quantitative analysis of the cytokine-mediated apoptosis-survival cell decision process
- Networks Inferred from Biochemical Data Reveal Profound Differences in Toll-like Receptor and Inflammatory Signaling between Normal and Transformed Hepatocytes
- A Bio-inspired Distributed Control Architecture: Coupled Artificial Signalling Networks
- Experiment design for systems biology
- Selecting high-confidence predictions from ordinary differential equation models of biological networks
- Theoretical Issues for Global Cumulative Treatment Analysis (GCTA)
- Boosting Probabilistic Graphical Model Inference by Incorporating Prior Knowledge from Multiple Sources
- Oncogenic NRAS Signaling Differentially Regulates Survival and Proliferation in Melanoma
- Simplistic pathways or complex networks?
- Understanding Complex Regulatory Systems: Integrating Molecular Biology and Systems Analysis
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