Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:16:41.493726
Authors
Rana Aldisi
Contact
charles.hoyt@scai.fraunhofer.de
Description
This file encodes the article M1 muscarinic acetylcholine receptor in Alzheimer’s disease by Jiang et al, 2014
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
135
Number Edges
225
Number Components
4
Network Density
0.0124378109452736
Average Degree
1.66666666666667
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
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 50%
Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0 43%
Effects of peptides derived from BACE1 catalytic domain on APP processing 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%
Nicotinic α4β2 acetylcholine receptors and cognitive function in Parkinson's disease v1.0.0 33%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro v1.0.0 27%
Tau Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0 27%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 27%

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:learning)

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