Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2018-04-03 15:19:35
Authors
Causal Biological Networks Database
Contact
CausalBiologicalNetworks.RD@pmi.com
Description
The Wound Healing network describes the causal mechanisms involved in the wound healing response in pulmonary tissue following exposure to cigarette smoke. This includes processes related to cell migration as a result of MMP degradation of matrix components and progenitor cell differentiation mediated by NOTCH1, SOX2, KRT14 and CTNNB1.
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
148
Number Edges
368
Number Components
23
Network Density
0.0169149
Average Degree
2.48649
Number Citations
203
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%
ECM Degradation-2.0-Rn v2.0 52%
Cell Interaction-2.0-Rn v2.0 38%
Wound Healing-2.0-Hs v2.0 37%
Selventa Protein Families Definitions v20150611 36%
Wound Healing-2.0-Mm v2.0 35%
Hox-2.0-Rn v2.0 30%
Mapk-2.0-Rn v2.0 29%
PGE2-2.0-Rn v2.0 25%
Jak Stat-2.0-Rn v2.0 25%

Sample Edges

Sample Nodes

p(SFAM:"MAPK p38 Family")

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

p(HGNC:AKT1)

In-Edges: 267 | Out-Edges: 239 | Explore Neighborhood | Download JSON

p(RGD:Mapk3)

In-Edges: 173 | Out-Edges: 60 | Explore Neighborhood | Download JSON

p(HGNC:CXCL8)

In-Edges: 334 | Out-Edges: 142 | Explore Neighborhood | Download JSON

p(RGD:Mapk1)

In-Edges: 233 | Out-Edges: 67 | 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.