Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:43:57.182056
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
157
Number Edges
343
Number Components
1
Network Density
0.0140045729217704
Average Degree
2.18471337579618
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%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 40%
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%
Carboxy terminus heat shock protein 70 interacting protein reduces tau-associated degenerative changes v1.0.0 33%
Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0 31%
Protein aggregation can inhibit clathrin-mediated endocytosis by chaperone competition v1.0.0 31%
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 30%
Pathological missorting of endogenous MAPT/Tau in neurons caused by failure of protein degradation systems v1.0.1 30%
Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1 29%

Sample Edges

Sample Nodes

a(CHEBI:"amyloid-beta")

In-Edges: 423 | Out-Edges: 245 | Children: 5 | 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

bp(GO:phagocytosis)

In-Edges: 12 | Out-Edges: 10 | 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.