Upload at 2019-02-27 16:21:01.945721
Sandra Spalek
CC BY 4.0
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
Number Edges
Number Components
Network Density
Average Degree
Number Citations
Number BEL Errors

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
The Ubiquitin Proteasome System in Neurodegenerative Diseases: Sometimes the Chicken, Sometimes the Egg v1.0.0 43%
The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0 32%
Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0 21%
Molecular chaperones and regulation of tau quality control: strategies for drug discovery in tauopathies v1.0.0 12%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 11%
Protein aggregation can inhibit clathrin-mediated endocytosis by chaperone competition v1.0.0 8%
Molecular Chaperone Functions in Protein Folding and Proteostasis v1.0.0 7%
A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways v1.0.0 5%
Tau clearance mechanisms and their possible role in the pathogenesis of Alzheimer disease v1.0.0 5%
Clearance of Amyloid Beta and Tau in Alzheimer’s Disease:from Mechanisms to Therapy v1.0.1 5%

Sample Edges

Sample Nodes


In-Edges: 2 | Out-Edges: 1 | Explore Neighborhood | Download JSON

complex(GO:"proteasome complex")

In-Edges: 40 | Out-Edges: 42 | Classes: 1 | Children: 1 | Explore Neighborhood | Download JSON


In-Edges: 20 | Out-Edges: 18 | Explore Neighborhood | Download JSON


In-Edges: 40 | Out-Edges: 4 | Explore Neighborhood | Download JSON


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.