Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2018-04-03 15:16:04
Authors
Causal Biological Networks Database
Contact
CausalBiologicalNetworks.RD@pmi.com
Description
The Epithelial Mucus Hypersecretion network depicts the causal mechanisms that lead to increased expression of MUC5AC and mucus hypersecretion in pulmonary epithelial cells in response to pro-inflammatory signals (e.g. IL13, CCL2, and TNF) and environmental insults. The network also includes COPD-specific signaling components such as various mucins and mucocilliary clearance processes.
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
128
Number Edges
432
Number Components
20
Network Density
0.0265748
Average Degree
3.375
Number Citations
269
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 62%
Epithelial Innate Immune Activation-2.0-Rn v2.0 41%
Epithelial Mucus Hypersecretion-2.0-Hs v2.0 39%
Oxidative Stress-2.0-Rn v2.0 39%
Epithelial Mucus Hypersecretion-2.0-Mm v2.0 38%
Macrophage Signaling-2.0-Rn v2.0 36%
Neutrophil Signaling-2.0-Rn v2.0 36%
Osmotic Stress-2.0-Rn v2.0 36%
Immune Regulation of Tissue Repair-2.0-Rn v2.0 34%
Tissue Damage-2.0-Rn v2.0 34%

Sample Edges

Sample Nodes

p(SFAM:"MAPK p38 Family")

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

a(CHEBI:melatonin)

In-Edges: 21 | Out-Edges: 156 | Classes: 2 | Explore Neighborhood | Download JSON

a(CHEBI:"reactive oxygen species")

In-Edges: 1023 | Out-Edges: 827 | Classes: 1 | Children: 4 | Explore Neighborhood | Download JSON

p(RGD:Mapk3)

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

p(RGD:Nfkbia)

In-Edges: 129 | Out-Edges: 96 | 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.