Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:21:33.770420
Authors
Esther Wollert, Sandra Spalek, and Charles Tapley Hoyt
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
192
Number Edges
366
Number Components
3
Network Density
0.0099803664921466
Average Degree
1.90625
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
Structural and functional properties of prefibrillar α-synuclein oligomers v1.0.0 38%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 38%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Alpha-synuclein oligomers: a new hope v1.0.0 33%
Tau degradation: the ubiquitin-proteasome system versus the autophagy-lysosome system. v1.0.0 27%
The Biology of Proteostasis in Aging and Disease v1.0.0 27%
Amyloid β oligomers (AβOs) in Alzheimer’s disease v1.0.0 26%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 24%
Pathological missorting of endogenous MAPT/Tau in neurons caused by failure of protein degradation systems v1.0.1 22%
Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0 20%

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:aging)

In-Edges: 27 | Out-Edges: 61 | Explore Neighborhood | Download JSON

bp(GO:cognition)

In-Edges: 111 | Out-Edges: 35 | 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.