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Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system 1.0.0

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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:20:52.978799
Authors
Rana Aldisi
Contact
charles.hoyt@scai.fraunhofer.de
Description
This document contains the curation of the review article Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system by Taly et al. 2009
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
114
Number Edges
210
Number Components
11
Network Density
0.016301816488123
Average Degree
1.84210526315789
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
Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice v1.0.0 36%
albuquerque2009 v1.0.0 36%
Neuronal Nicotinic Acetylcholine Receptor Structure and Function and Response to Nicotine v1.0.1 29%
Alzheimer's Disease: Targeting the Cholinergic System v1.0.0 28%
Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0 26%
NACHO Mediates Nicotinic Acetylcholine Receptor Function throughout the Brain v1.0.0 26%
Nicotinic Receptor Abnormalities of Alzheimer’s Disease: Therapeutic Implications v1.0.0 25%
Nicotinic Acetylcholine Receptors and Nicotinic Cholinergic Mechanisms of the Central Nervous System v1.0.0 24%
Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0 23%
Neuronal and Extraneuronal Nicotinic Acetylcholine Receptors. v1.0.0 22%

Sample Edges

complex(p(HGNC:CHRNA4), p(HGNC:CHRNB2)) hasComponent p(HGNC:CHRNA4) View Subject | View Object

complex(p(HGNC:CHRNA4), p(HGNC:CHRNB2)) hasComponent p(HGNC:CHRNB2) View Subject | View Object

complex(p(HGNC:CHRNA3), p(HGNC:CHRNB4)) hasComponent p(HGNC:CHRNA3) View Subject | View Object

complex(p(HGNC:CHRNA3), p(HGNC:CHRNB4)) hasComponent p(HGNC:CHRNB4) View Subject | View Object

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA5), p(HGNC:CHRNB2)) hasComponent p(HGNC:CHRNA4) View Subject | View Object

Sample Nodes

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

path(MESH:"Alzheimer Disease")

In-Edges: 536 | Out-Edges: 704 | Classes: 5 | Explore Neighborhood | Download JSON

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

In-Edges: 56 | Out-Edges: 30 | 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.