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APP processing in Alzheimer's disease 1.0.1

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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:13:41.023849
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
Description
APP processing in Alzheimer's disease
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
147
Number Edges
265
Number Components
4
Network Density
0.0123474047153108
Average Degree
1.80272108843537
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
Amyloid Precursor Protein Trafficking, Processing, and Function v1.0.0 62%
Proteolytic processing of Alzeimer's beta-amyloid precursor protein v1.0.1 44%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 30%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 27%
Abnormal Alzheimer-like phosphorylation of tau-protein by cyclin-dependent kinases cdk2 and cdk5 v1.0.0 25%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 25%
Increased NF-κB signalling up-regulates BACE1 expression and its therapeutic potential in Alzheimer's disease. v1.0.0 25%
Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1 24%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 24%

Sample Edges

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

p(HGNC:APP) hasVariant p(HGNC:APP, frag("17_*")) View Subject | View Object

p(HGNC:APP) hasVariant p(HGNC:APP, frag("1_16")) View Subject | View Object

rxn(reactants(p(HGNC:APP)), products(p(HGNC:APP, frag("17_*")), p(HGNC:APP, frag("1_16")))) hasReactant p(HGNC:APP) View Subject | View Object

rxn(reactants(p(HGNC:APP)), products(p(HGNC:APP, frag("17_*")), p(HGNC:APP, frag("1_16")))) hasProduct p(HGNC:APP, frag("17_*")) View Subject | View Object

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:"cell adhesion")

In-Edges: 11 | Out-Edges: 5 | Explore Neighborhood | Download JSON

bp(GO:"stem cell proliferation")

In-Edges: 2 | Out-Edges: 0 | 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.