Versions 2

Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:44:05.848055
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
27
Number Edges
61
Number Components
1
Network Density
0.0868945868945869
Average Degree
2.25925925925926
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
Pathological missorting of endogenous MAPT/Tau in neurons caused by failure of protein degradation systems v1.0.1 85%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 50%
Tau Modifications v1.9.5 48%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 41%
The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0 41%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 38%
Tau degradation: the ubiquitin-proteasome system versus the autophagy-lysosome system. v1.0.0 33%
Molecular chaperones and regulation of tau quality control: strategies for drug discovery in tauopathies v1.0.0 33%
Clearance of Amyloid Beta and Tau in Alzheimer’s Disease:from Mechanisms to Therapy v1.0.1 33%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 33%

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: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.