Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:44:06.906501
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
28
Number Edges
42
Number Components
1
Network Density
0.0555555555555556
Average Degree
1.5
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 33%
Tau oligomers-Cytotoxicity, propagation, and mitochondrial damage v1.0.0 32%
Tau Modifications v1.9.5 32%
Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1 29%
Tau in physiology and pathology v1.0.0 29%
Tau Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0 27%
Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro v1.0.0 27%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 25%
Caenorhabditis elegans models of tauopathy v1.0.0 21%
Tau clearance mechanisms and their possible role in the pathogenesis of Alzheimer disease v1.0.0 21%

Sample Edges

Sample Nodes

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:locomotion)

In-Edges: 27 | Out-Edges: 3 | 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.