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The Ubiquitin Proteasome System in Neurodegenerative Diseases: Sometimes the Chicken, Sometimes the Egg 1.0.0

Compilation Biogrammar
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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:21:01.225037
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
272
Number Edges
488
Number Components
4
Network Density
0.00662036032125027
Average Degree
1.79411764705882
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%
Perilous journey: a tour of the ubiquitin–proteasome system v1.0.0 43%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 38%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 35%
Molecular Chaperone Functions in Protein Folding and Proteostasis v1.0.0 33%
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 30%
Effects of peptides derived from BACE1 catalytic domain on APP processing v1.0.0 30%
The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0 28%
Model systems of protein-misfolding diseases reveal chaperone modifiers of proteotoxicity v1.0.0 28%
Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0 26%

Sample Edges

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, pmod(HBP:hyperphosphorylation)) View Subject | View Object

p(HGNC:APP) hasVariant p(HGNC:APP, var("?")) View Subject | View Object

p(HGNC:PSEN1) hasVariant p(HGNC:PSEN1, var("?")) View Subject | View Object

p(HGNC:PSEN2) hasVariant p(HGNC:PSEN2, var("?")) View Subject | View Object

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, var("?")) View Subject | View Object

Sample Nodes

a(CHEBI:"amyloid-beta")

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

bp(GO:"immune response")

In-Edges: 7 | Out-Edges: 5 | Explore Neighborhood | Download JSON

bp(GO:"inflammatory response")

In-Edges: 55 | Out-Edges: 24 | Explore Neighborhood | Download JSON

bp(GO:"response to oxidative stress")

In-Edges: 15 | Out-Edges: 12 | Explore Neighborhood | Download JSON

bp(GO:aging)

In-Edges: 27 | Out-Edges: 61 | 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.