Upload at 2019-02-27 16:20:54.129318
Esther Wollert
CC BY 4.0
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
Number Edges
Number Components
Network Density
Average Degree
Number Citations
Number BEL Errors

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
albuquerque2009 v1.0.0 50%
NACHO Mediates Nicotinic Acetylcholine Receptor Function throughout the Brain v1.0.0 50%
Naturally-expressed nicotinic acetylcholine receptor subtypes v1.0.0 38%
Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0 38%
Nicotinic Receptor Abnormalities of Alzheimer’s Disease: Therapeutic Implications v1.0.0 38%
Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1 25%
Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0 25%
Anti-inflammatory activity of anatabine via inhibition of STAT3 phosphorylation v1.0.0 12%
Anatabine lowers Alzheimer's Aβ production in vitro and in vivo v1.0.0 12%
Discriminative Stimulus Properties of S(−)-Nicotine: “A Drug for All Seasons v1.0.0 12%

Sample Edges

a(CHEBI:nicotine) increases a(MESH:"alpha6beta2 nicotinic acetylcholine receptor") View Subject | View Object

After nicotine treat- ment for 24 h at 30µM nicotine, 125 I-labeled epibatidine bind- ing to a6b2 receptors increased significantly at 37 and 30°C. PubMed:18174175

a(CHEBI:nicotine) increases a(HBP:"alpha-4 beta-2 nAChR") View Subject | View Object

This range is broader but similar to what was observed for a4b2 where the -fold increase after nicotine treat- ment varied 3–6-fold (29). PubMed:18174175

a(CHEBI:nicotine) increases a(HBP:"alpha-3 beta-2 nAChR") View Subject | View Object

At 37°C, the timecourse of the a6b2 and a3b2 up-regulation is essentially complete after 2 h, and no signifi- cant changes were observed with longer nicotine incubations. PubMed:18174175

Sample Nodes


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.