Versions 6

Provenance

Upload
thrishna@causalitybiomodels.com at 2018-12-05 09:48:24
Authors
Thrishna K G
Contact
thrishna@causalitybiomodels.com
Description
test BEl doc.
License
Private Ownership to Causality Biomodels
Copyright
Copyright © 2018 CausalityBiomodels
Number Nodes
26
Number Edges
33
Number Components
4
Network Density
0.0507692
Average Degree
1.26923
Number Citations
4
Number BEL Errors
17

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
AB_Test2 v1.1.1 88%
BEL Training sentences edited v1.1.8 88%
AB_Test1 v1.1.1 85%
DR_1 v1.1.1 78%
BEL Framework Large Corpus Document v20170611 77%
test_pr v1.1.6 70%
BEL Framework Small Corpus Document v20150611 38%
Selventa Protein Families Definitions v20150611 38%
CRC_combined v1.1 23%
Colorectal Cancer Model v2.0.6 23%

Sample Edges

path(MESHD:Neoplasms) negativeCorrelation m(HGNC:MIR133B)

MicroRNA-133b (miR-133b) is found to be down-regulated in various tumors, including esophageal squamous cell carcinoma (ESCC), and closely correlates with the malignant phenotype of ESCC. PubMed:30479571

p(HGNC:AKT1) increases p(HGNC:CREBBP)

BDNF binds to its high affinity receptor TrkB (tyrosine kinase B) and activates signal transduction cascades (IRS1/2, PI3K, Akt), crucial for CREB and CBP production, that encode proteins involved in β cell survival. PubMed:26788077

Sample Nodes

a(CHEBI:"nitric oxide")

In-Edges: 455 | Out-Edges: 538 | Classes: 3 | Explore Neighborhood | Download JSON

p(HGNC:AKT1)

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

p(HGNC:TNF)

In-Edges: 576 | Out-Edges: 1108 | Explore Neighborhood | Download JSON

p(HGNC:BDNF)

In-Edges: 283 | Out-Edges: 260 | Explore Neighborhood | Download JSON

p(HGNC:CREB1)

In-Edges: 122 | Out-Edges: 38 | 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.