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a(PUBCHEM:24721561)

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Entity

Name
24721561
Namespace
PUBCHEM
Namespace Version
None
Pattern
^\d+$

Appears in Networks 1

Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease v1.0.0

In-Edges 0

Out-Edges 4

a(PUBCHEM:24721561) decreases bp(GO:"neuron death") View Subject | View Object

Ginsenoside Rd showed neuro-protective effects with A 40 activated impairments in rat brains [225] and ameliorated learning and memory capability in APP transgenic mice, via reducing the activity of NF-B [226]. PubMed:29179999

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Alzheimer Disease

a(PUBCHEM:24721561) increases bp(GO:learning) View Subject | View Object

Ginsenoside Rd showed neuro-protective effects with A 40 activated impairments in rat brains [225] and ameliorated learning and memory capability in APP transgenic mice, via reducing the activity of NF-B [226]. PubMed:29179999

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

a(PUBCHEM:24721561) increases bp(GO:memory) View Subject | View Object

Ginsenoside Rd showed neuro-protective effects with A 40 activated impairments in rat brains [225] and ameliorated learning and memory capability in APP transgenic mice, via reducing the activity of NF-B [226]. PubMed:29179999

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

a(PUBCHEM:24721561) decreases act(p(FPLX:NFkappaB)) View Subject | View Object

Ginsenoside Rd showed neuro-protective effects with A 40 activated impairments in rat brains [225] and ameliorated learning and memory capability in APP transgenic mice, via reducing the activity of NF-B [226]. PubMed:29179999

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

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.