Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:23:19.437501
Authors
Esther Wollert
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
17
Number Edges
31
Number Components
1
Network Density
0.113970588235294
Average Degree
1.82352941176471
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
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 50%
Tau Modifications v1.9.5 41%
Abnormal Alzheimer-like phosphorylation of tau-protein by cyclin-dependent kinases cdk2 and cdk5 v1.0.0 41%
TAU and Interaction Partners v1.2.5 35%
PP2A and Alzheimer Disease v1.0.0 35%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 29%
Inhibition of tau aggregation in a novel Caenorhabditis elegans model of tauopathy mitigates proteotoxicity v1.0.0 29%
Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0 29%
Neuropathogenic role of adenylate kinase-1 in Aβ-mediated tau phosphorylation via AMPK and GSK3β. v1.0.0 29%
Tau oligomers-Cytotoxicity, propagation, and mitochondrial damage v1.0.0 29%

Sample Edges

Sample Nodes

path(MESH:"Alzheimer Disease")

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

p(HGNC:MAPT)

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

p(HGNC:MAPT, pmod(Ph))

In-Edges: 201 | Out-Edges: 71 | Classes: 1 | Children: 4 | Explore Neighborhood | Download JSON

bp(GO:"cell death")

In-Edges: 44 | 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.