Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:43:53.445755
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
47
Number Edges
106
Number Components
1
Network Density
0.0490286771507863
Average Degree
2.25531914893617
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 43%
Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1 35%
Abnormal Alzheimer-like phosphorylation of tau-protein by cyclin-dependent kinases cdk2 and cdk5 v1.0.0 35%
Phosphatase: PP2A structural importance, regulation and its aberrant expression in cancer v1.0.0 32%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 29%
Anatabine Attenuates Tau Phosphorylation and Oligomerization in P301S Tau Transgenic Mice v1.0.0 28%
TAU and Interaction Partners v1.2.5 26%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 25%
Tau in physiology and pathology v1.0.0 23%

Sample Edges

Sample Nodes

bp(GO:learning)

In-Edges: 52 | Out-Edges: 24 | Explore Neighborhood | Download JSON

bp(GO:memory)

In-Edges: 112 | Out-Edges: 33 | 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.