Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:13:42.835102
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved
Number Nodes
135
Number Edges
226
Number Components
3
Network Density
0.0124930901050304
Average Degree
1.67407407407407
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
Amyloid Precursor Protein Trafficking, Processing, and Function v1.0.0 50%
APP processing in Alzheimer's disease v1.0.1 44%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 30%
Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice v1.0.0 27%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 25%
A role for b2* nicotinic receptors in a model of local amyloid pathology induced in dentate gyrus v1.0.0 24%
Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1 24%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 24%
Inflammasome Involvement in Alzheimer’s Disease v1.0.0 22%

Sample Edges

Sample Nodes

a(CHEBI:"amyloid-beta")

In-Edges: 423 | Out-Edges: 245 | Children: 5 | Explore Neighborhood | Download JSON

a(HBP:HBP00018)

In-Edges: 35 | Out-Edges: 8 | Explore Neighborhood | Download JSON

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

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.