Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:44:13.378732
Authors
Esther Wollert
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2019 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
17
Number Edges
50
Number Components
1
Network Density
0.183823529411765
Average Degree
2.94117647058824
Number Citations
1
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
Tau Modifications v1.9.5 65%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 50%
Tau in physiology and pathology v1.0.0 47%
The Spleen Tyrosine Kinase (Syk) Regulates Alzheimer Amyloid-β Production and Tau Hyperphosphorylation* v1.0.0 41%
Molecular chaperones and regulation of tau quality control: strategies for drug discovery in tauopathies v1.0.0 41%
Caenorhabditis elegans models of tauopathy v1.0.0 41%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 38%
Pathological missorting of endogenous MAPT/Tau in neurons caused by failure of protein degradation systems v1.0.1 35%
Upstream regulators and downstream effectors of NF-κBinAlzheimer's disease v1.0.0 35%
M1 muscarinic acetylcholine receptor in Alzheimer’s disease v1.0.0 35%

Sample Edges

Sample Nodes

bp(GO:aging)

In-Edges: 27 | Out-Edges: 61 | Explore Neighborhood | Download JSON

path(MESH:"Alzheimer Disease")

In-Edges: 536 | Out-Edges: 704 | Classes: 5 | Explore Neighborhood | Download JSON

p(HGNC:BACE1)

In-Edges: 65 | Out-Edges: 39 | Explore Neighborhood | Download JSON

p(HBP:"sAPP-beta")

In-Edges: 10 | Out-Edges: 1 | Explore Neighborhood | Download JSON

p(HGNC:MAPT)

In-Edges: 477 | Out-Edges: 480 | Classes: 11 | Children: 27 | 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 PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.