Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:13:52.263719
Authors
Lingling Xu
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
54
Number Edges
60
Number Components
2
Network Density
0.0209643605870021
Average Degree
1.11111111111111
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
Alzheimer's Disease: Targeting the Cholinergic System v1.0.0 30%
albuquerque2009 v1.0.0 28%
Cholinergic system during the progression of Alzheimer’s disease: therapeutic implications v1.0.0 24%
Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system v1.0.0 22%
Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1 20%
Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0 20%
NACHO Mediates Nicotinic Acetylcholine Receptor Function throughout the Brain v1.0.0 19%
Neuronal and Extraneuronal Nicotinic Acetylcholine Receptors. v1.0.0 17%
Neuronal Nicotinic Acetylcholine Receptor Structure and Function and Response to Nicotine v1.0.1 12%
Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0 11%

Sample Edges

Sample Nodes

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

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

p(HGNC:CHRNA7)

In-Edges: 135 | Out-Edges: 111 | Explore Neighborhood | Download JSON

p(HGNC:CHRNA3)

In-Edges: 21 | Out-Edges: 6 | Explore Neighborhood | Download JSON

p(HGNC:CHRNA6)

In-Edges: 13 | Out-Edges: 4 | Explore Neighborhood | Download JSON

p(HGNC:CHRNA1)

In-Edges: 11 | Out-Edges: 1 | 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.