Provenance

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charles.hoyt@scai.fraunhofer.de at 2018-04-03 15:19:49
Authors
Causal Biological Networks Database
Contact
CausalBiologicalNetworks.RD@pmi.com
Description
The mTor network depicts the causal mechanisms involved in the canonical mTor signaling pathway, including AMPK, TSC1/2, RHEB, and RPS6KB1. Elements of this pathway are important for mediating the proliferative processes seen following lung injury.
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
39
Number Edges
76
Number Components
4
Network Density
0.0512821
Average Degree
1.94872
Number Citations
39
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 77%
mTor-2.0-Hs v2.0 65%
mTor-2.0-Mm v2.0 56%
Autophagy-2.0-Rn v2.0 56%
Autophagy-2.0-Hs v2.0 38%
Autophagy-2.0-Mm v2.0 36%
Selventa Protein Families Definitions v20150611 28%
Growth Factor-2.0-Rn v2.0 28%
Cell Cycle-2.0-Rn v2.0 18%
Hypoxic Stress-2.0-Rn v2.0 18%

Sample Edges

Sample Nodes

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.