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Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease 1.0.0

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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-05-15 22:27:03.357129
Authors
Esther Wollert
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2019 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
121
Number Edges
245
Number Components
1
Network Density
0.0168732782369146
Average Degree
2.02479338842975
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
Increased NF-κB signalling up-regulates BACE1 expression and its therapeutic potential in Alzheimer's disease. v1.0.0 50%
Anti-inflammatory activity of anatabine via inhibition of STAT3 phosphorylation v1.0.0 40%
Anatabine lowers Alzheimer's Aβ production in vitro and in vivo v1.0.0 40%
Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice v1.0.0 36%
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%
Upstream regulators and downstream effectors of NF-κBinAlzheimer's disease v1.0.0 33%
Anatabine ameliorates experimental autoimmune thyroiditis. v1.0.0 33%
Effects of peptides derived from BACE1 catalytic domain on APP processing v1.0.0 30%
Inflammasome activation and innate immunity in Alzheimer’s disease v1.0.2 29%
Inflammasome Involvement in Alzheimer’s Disease v1.0.0 28%

Sample Edges

p(HGNC:STAT3) hasVariant p(HGNC:STAT3, pmod(Ph)) View Subject | View Object

p(HGNC:MAPK14) hasVariant p(HGNC:MAPK14, pmod(Ph)) View Subject | View Object

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

p(FPLX:ERK) hasVariant p(FPLX:ERK, pmod(Ph)) View Subject | View Object

p(FPLX:JNK) hasVariant p(FPLX:JNK, pmod(Ph)) View Subject | View Object

Sample Nodes

a(CHEBI:"amyloid-beta")

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

bp(GO:"inflammatory response")

In-Edges: 55 | Out-Edges: 24 | 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

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.