Provenance

Upload
charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:23:47.913907
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
24
Number Edges
41
Number Components
1
Network Density
0.0742753623188406
Average Degree
1.70833333333333
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
Activation and regulation of the inflammasomes v1.0.0 33%
Inflammasome Involvement in Alzheimer’s Disease v1.0.0 29%
The role of inflammasome in Alzheimer’s disease v1.0.3 29%
Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease v1.0.0 29%
Nuclear receptors as therapeutic targets for Alzheimer's disease. v1.0.0 25%
Nuclear Factor Kappa-light-chain-enhancer of Activated B Cells (NF-κB) - a Friend, a Foe, or a Bystander - in the Neurodegenerative Cascade and Pathogenesis of Alzheimer's Disease v1.0.0 21%
Upstream regulators and downstream effectors of NF-κBinAlzheimer's disease v1.0.0 21%
Significance of NF-κB as a pivotal therapeutic target in the neurodegenerative pathologies of Alzheimer's disease and multiple sclerosis v1.0.0 21%
Heme Curation v0.0.1-dev 17%
APP processing in Alzheimer's disease v1.0.1 17%

Sample Edges

a(CHEBI:"(+)-artemisinin") decreases p(MGI:Nfkbia) View Subject | View Object

Using a similar mouse model, Shi et al. treated animals with the antimalarial drug artemisinin, showing that this treatment results in inhibition of NFkB and presumably the NLRP3 inflammasome (13) PubMed:28019679

Annotations
Confidence
High
MeSH
Neurons
NeuroMMSigDB
Nuclear factor Kappa beta subgraph

a(CHEBI:"(+)-artemisinin") decreases complex(GO:"NLRP3 inflammasome complex") View Subject | View Object

Using a similar mouse model, Shi et al. treated animals with the antimalarial drug artemisinin, showing that this treatment results in inhibition of NFkB and presumably the NLRP3 inflammasome (13) PubMed:28019679

Annotations
Confidence
High
MeSH
Neurons
NeuroMMSigDB
Nuclear factor Kappa beta subgraph

a(CHEBI:"amyloid-beta") increases bp(GO:"innate immune response") View Subject | View Object

One of the canonical pathways of this innate immune response evoked by Abeta is the activation of the NOD-like receptor (NLR) family, pyrin domain containing 3 (NLRP3) inflammasome that became a focus of intense research PubMed:28019679

Annotations
Confidence
High
NeuroMMSigDB
Amyloidogenic subgraph
NeuroMMSigDB
Innate immune system subgraph

a(CHEBI:"amyloid-beta") increases act(complex(GO:"NLRP3 inflammasome complex")) View Subject | View Object

NLRP3 inflammasome activation results from TLR ligation and concomitant uptake of Ab in models of AD PubMed:28019679

Annotations
Confidence
High
NeuroMMSigDB
Amyloidogenic subgraph

a(CHEBI:"amyloid-beta") increases a(CHEBI:"nitric oxide") View Subject | View Object

NLRP3 inflammasome formation and subsequent activation of caspase-1 cleavage capacity was instrumental for Abeta-induced nitric oxide production and TNF-a release PubMed:28019679

Annotations
Confidence
High
NeuroMMSigDB
Amyloidogenic subgraph
NeuroMMSigDB
Nitric oxide subgraph

Sample Nodes

a(CHEBI:"amyloid-beta")

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

a(CHEBI:"amyloid-beta polypeptide 42")

In-Edges: 66 | Out-Edges: 72 | Classes: 1 | Explore Neighborhood | Download JSON

a(HBP:HBP00038)

In-Edges: 6 | Out-Edges: 6 | Explore Neighborhood | Download JSON

bp(HBP:HBP00027)

In-Edges: 3 | Out-Edges: 0 | Explore Neighborhood | Download JSON

p(HGNC:CTSB)

In-Edges: 3 | Out-Edges: 3 | 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.