Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2018-04-03 15:16:52
Authors
Causal Biological Networks Database
Contact
CausalBiologicalNetworks.RD@pmi.com
Description
The Immune Regulation of Tissue Repair network depicts the causal mechanisms involved in the immune cell regulation of tissue repair, including the activation of macrophages, dendritic cells, neutrophils and monocytes.
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
132
Number Edges
645
Number Components
13
Network Density
0.0373005
Average Degree
4.88636
Number Citations
460
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 61%
Epithelial Innate Immune Activation-2.0-Rn v2.0 45%
Macrophage Signaling-2.0-Rn v2.0 43%
Neutrophil Signaling-2.0-Rn v2.0 42%
Tissue Damage-2.0-Rn v2.0 38%
Dendritic Cell Signaling-2.0-Rn v2.0 36%
Epithelial Mucus Hypersecretion-2.0-Rn v2.0 34%
Oxidative Stress-2.0-Rn v2.0 31%
Immune Regulation of Tissue Repair-2.0-Hs v2.0 29%
Immune Regulation of Tissue Repair-2.0-Mm v2.0 29%

Sample Edges

Sample Nodes

p(RGD:Ppara)

In-Edges: 12 | Out-Edges: 20 | Explore Neighborhood | Download JSON

p(RGD:Fos)

In-Edges: 23 | Out-Edges: 6 | Explore Neighborhood | Download JSON

p(RGD:Il1a)

In-Edges: 8 | Out-Edges: 14 | Explore Neighborhood | Download JSON

p(RGD:Ccl3)

In-Edges: 11 | Out-Edges: 19 | Explore Neighborhood | Download JSON

bp(GOBP:"inflammatory response")

In-Edges: 792 | Out-Edges: 404 | Children: 3 | 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.