Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:23:28.930353
Authors
Kristian Kolpeja
Contact
cthoyt
Description
TAU Interactions Section of NESTOR
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved
Number Nodes
159
Number Edges
453
Number Components
2
Network Density
0.0180320038213518
Average Degree
2.84905660377358
Number Citations
29
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%
Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1 35%
Abnormal Alzheimer-like phosphorylation of tau-protein by cyclin-dependent kinases cdk2 and cdk5 v1.0.0 35%
Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0 35%
Tau Modifications v1.9.5 33%
Anatabine Attenuates Tau Phosphorylation and Oligomerization in P301S Tau Transgenic Mice v1.0.0 33%
Activity-dependent tau protein translocation to excitatory synapse is disrupted by exposure to amyloid-beta oligomers v1.0.0 29%
Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro v1.0.0 27%
PP2A and Alzheimer Disease v1.0.0 26%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 24%

Sample Edges

Sample Nodes

p(HGNC:DKK1)

In-Edges: 8 | Out-Edges: 13 | Explore Neighborhood | Download JSON

a(CHEBI:"calcium(2+)")

In-Edges: 56 | Out-Edges: 30 | Explore Neighborhood | Download JSON

p(HGNC:MAPT)

In-Edges: 477 | Out-Edges: 480 | Classes: 11 | Children: 27 | Explore Neighborhood | Download JSON

p(HGNC:MAPT, pmod(Ph))

In-Edges: 201 | Out-Edges: 71 | Classes: 1 | Children: 4 | 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.