Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:36:31.594020
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2019 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
18
Number Edges
29
Number Components
1
Network Density
0.0947712418300654
Average Degree
1.61111111111111
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 67%
The Spleen Tyrosine Kinase (Syk) Regulates Alzheimer Amyloid-β Production and Tau Hyperphosphorylation* v1.0.0 44%
Neuropathogenic role of adenylate kinase-1 in Aβ-mediated tau phosphorylation via AMPK and GSK3β. v1.0.0 33%
TAU and Interaction Partners v1.2.5 33%
PP2A and Alzheimer Disease v1.0.0 28%
Caenorhabditis elegans models of tauopathy v1.0.0 28%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 24%
Tau in physiology and pathology v1.0.0 22%
Protein phosphatase 2A dysfunction in Alzheimer’s disease v1.0.0 22%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 22%

Sample Edges

Sample Nodes

p(HGNC:MAPT)

In-Edges: 477 | Out-Edges: 480 | Classes: 11 | Children: 27 | Explore Neighborhood | Download JSON

a(GO:"neurofibrillary tangle")

In-Edges: 74 | Out-Edges: 61 | Children: 1 | Explore Neighborhood | Download JSON

p(HGNC:GSK3B)

In-Edges: 72 | Out-Edges: 103 | Classes: 2 | Explore Neighborhood | Download JSON

path(MESH:Anxiety)

In-Edges: 16 | Out-Edges: 5 | 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.