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The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease 1.0.0

Compilation Biogrammar
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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:44:00.486330
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
180
Number Edges
454
Number Components
8
Network Density
0.014090626939789
Average Degree
2.52222222222222
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%
Pathological missorting of endogenous MAPT/Tau in neurons caused by failure of protein degradation systems v1.0.1 41%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 38%
Extracellular Monomeric and Aggregated Tau Efficiently Enter Human Neurons through Overlapping but Distinct Pathways v1.0.1 37%
Perilous journey: a tour of the ubiquitin–proteasome system v1.0.0 32%
Carboxy terminus heat shock protein 70 interacting protein reduces tau-associated degenerative changes v1.0.0 31%
Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0 30%
Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0 30%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 29%
Alzheimer’s disease and the autophagic-lysosomal system v1.0.0 29%

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

complex(a(MESH:Ubiquitin), p(HGNC:UBA2)) hasComponent a(MESH:Ubiquitin) View Subject | View Object

complex(a(MESH:Ubiquitin), p(HGNC:UBA2)) hasComponent p(HGNC:UBA2) View Subject | View Object

Sample Nodes

a(CHEBI:"amyloid-beta")

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

bp(GO:"fear response")

In-Edges: 2 | Out-Edges: 0 | 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:learning)

In-Edges: 52 | Out-Edges: 24 | 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.