Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:16:01.851172
Authors
Esther Wollert and Charles Tapley Hoyt
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
86
Number Edges
194
Number Components
2
Network Density
0.0265389876880985
Average Degree
2.25581395348837
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
Neuronal Nicotinic Acetylcholine Receptor Structure and Function and Response to Nicotine v1.0.1 71%
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 42%
Structural and functional properties of prefibrillar α-synuclein oligomers v1.0.0 38%
Nicotinic Receptor Abnormalities of Alzheimer’s Disease: Therapeutic Implications v1.0.0 37%
albuquerque2009 v1.0.0 35%
Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0 31%
Naturally-expressed nicotinic acetylcholine receptor subtypes v1.0.0 29%
Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0 28%
Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice v1.0.0 27%

Sample Edges

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.