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Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. 1.0.0

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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:13:51.694676
Authors
Rana Aldisi
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
228
Number Edges
545
Number Components
2
Network Density
0.01053018007574
Average Degree
2.39035087719298
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 64%
Nicotinic Receptor Abnormalities of Alzheimer’s Disease: Therapeutic Implications v1.0.0 46%
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 40%
Effects of peptides derived from BACE1 catalytic domain on APP processing v1.0.0 40%
Up-regulation of Nicotinic Receptors by Nicotine Varies with Receptor Subtype v1.0.0 38%
Chronic Anatabine Treatment Reduces Alzheimer ’ s Disease (AD)-Like Pathology and Improves Socio-Behavioral Deficits in a Transgenic Mouse Model of AD v1.0.0 35%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1 32%
Nicotinic Acetylcholine Receptors and Nicotinic Cholinergic Mechanisms of the Central Nervous System v1.0.0 31%
Structural and functional properties of prefibrillar α-synuclein oligomers v1.0.0 31%

Sample Edges

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

complex(a(CHEBI:"amyloid-beta polypeptide 42"), p(HGNC:CHRNA7)) hasComponent a(CHEBI:"amyloid-beta polypeptide 42") View Subject | View Object

complex(a(CHEBI:"amyloid-beta polypeptide 42"), p(HGNC:CHRNA7)) hasComponent p(HGNC:CHRNA7) View Subject | View Object

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

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

path(MESH:"Alzheimer Disease")

In-Edges: 536 | Out-Edges: 704 | Classes: 5 | 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.