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Nicotinic Receptor Abnormalities of Alzheimer’s Disease: Therapeutic Implications 1.0.0

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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:20:50.475230
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
59
Number Edges
118
Number Components
2
Network Density
0.0344827586206897
Average Degree
2.0
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
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 50%
Alzheimer's Disease: Targeting the Cholinergic System v1.0.0 47%
Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0 46%
Up-regulation of Nicotinic Receptors by Nicotine Varies with Receptor Subtype v1.0.0 38%
albuquerque2009 v1.0.0 37%
Nicotinic Acetylcholine Receptors and Nicotinic Cholinergic Mechanisms of the Central Nervous System v1.0.0 37%
Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0 37%
Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1 34%
A role for b2* nicotinic receptors in a model of local amyloid pathology induced in dentate gyrus v1.0.0 33%
Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0 29%

Sample Edges

p(HGNC:APP) hasVariant p(HGNC:APP, var("p.Lys670Asn"), var("p.Met671Leu")) View Subject | View Object

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, pmod(HBP:hyperphosphorylation)) View Subject | View Object

complex(a(CHEBI:nicotine), p(HGNC:CHRNA7)) hasComponent a(CHEBI:nicotine) View Subject | View Object

complex(a(CHEBI:nicotine), p(HGNC:CHRNA7)) hasComponent p(HGNC:CHRNA7) View Subject | View Object

complex(a(CHEBI:nicotine), p(FPLX:CHRN)) hasComponent a(CHEBI:nicotine) View Subject | View Object

Sample Nodes

a(CHEBI:"amyloid-beta")

In-Edges: 423 | Out-Edges: 245 | Children: 5 | Explore Neighborhood | Download JSON

bp(GO:"response to oxidative stress")

In-Edges: 15 | Out-Edges: 12 | Explore Neighborhood | Download JSON

bp(GO:aging)

In-Edges: 27 | Out-Edges: 61 | 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

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.