Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2018-04-03 15:18:28
Authors
Causal Biological Networks Database
Contact
CausalBiologicalNetworks.RD@pmi.com
Description
The Oxidative Stress network depicts pathways regulating cellular responses to oxidative stress, which includes intracellular free radical management, cellular responses to endogenous/exogenous oxidants and anti-oxidants and the glutathione metabolism. The network details transcriptional regulation of AP-1, NF-kB, and Nrf2 complexes as they relate to management of oxidative stress. Reviewed during Jamboree2014. Reviewed during Jamboree2015
License
Please cite: - www.causalbionet.com - https://bionet.sbvimprover.com as well as any relevant publications. The sbv IMPROVER project, the website and the Symposia are part of a collaborative project designed to enable scientists to learn about and contribute to the development of a new crowd sourcing method for verification of scientific data and results. The current challenges, website and biological network models were developed and are maintained as part of a collaboration among Selventa, OrangeBus and ADS. The project is led and funded by Philip Morris International. For more information on the focus of Philip Morris International’s research, please visit www.pmi.com.
Number Nodes
277
Number Edges
777
Number Components
30
Network Density
0.0101632
Average Degree
2.80505
Number Citations
400
Number BEL Errors
0

Content Statistics

Network Overlap

The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.

Network Overlap
BEL Framework Large Corpus Document v20170611 59%
Oxidative Stress-2.0-Hs v2.0 50%
Oxidative Stress-2.0-Mm v2.0 47%
NFE2L2 Signaling-2.0-Rn v2.0 40%
Epithelial Mucus Hypersecretion-2.0-Rn v2.0 39%
Osmotic Stress-2.0-Rn v2.0 37%
Epithelial Innate Immune Activation-2.0-Rn v2.0 34%
Endoplasmic Reticulum Stress-2.0-Rn v2.0 31%
Immune Regulation of Tissue Repair-2.0-Rn v2.0 31%
Tissue Damage-2.0-Rn v2.0 28%

Sample Edges

Sample Nodes

p(HGNC:JUN)

In-Edges: 152 | Out-Edges: 75 | Explore Neighborhood | Download JSON

p(HGNC:MAPK14)

In-Edges: 217 | Out-Edges: 240 | Explore Neighborhood | Download JSON

p(SFAM:"MAPK p38 Family")

In-Edges: 300 | Out-Edges: 234 | Explore Neighborhood | Download JSON

p(HGNC:MAPK8)

In-Edges: 247 | Out-Edges: 166 | Explore Neighborhood | Download JSON

p(HGNC:MAPK1)

In-Edges: 592 | Out-Edges: 336 | Explore Neighborhood | Download JSON

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of the open source project, PyBEL. Please feel free to contact us here to give us feedback or report any issues.