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a(CHEBI:"N-methyl-D-aspartic acid")

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Entity

Name
N-methyl-D-aspartic acid
Namespace
chebi
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/chebi-names.belns

Appears in Networks 1

Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0

In-Edges 2

a(CHEBI:nicotine) decreases act(a(CHEBI:"N-methyl-D-aspartic acid")) View Subject | View Object

There is evidence that nicotine’s neuroprotective effects can be mediated through tumor necrosis factor-alpha (TNF-alpha). Application of either nicotine or TNF-alpha protects cultured mouse embryonic cortical neurons from N-methyl-D-aspartate (NMDA) toxicity, but coapplication of both does not. PubMed:19293145

Appears in Networks:

p(HGNC:TNF) decreases act(a(CHEBI:"N-methyl-D-aspartic acid")) View Subject | View Object

There is evidence that nicotine’s neuroprotective effects can be mediated through tumor necrosis factor-alpha (TNF-alpha). Application of either nicotine or TNF-alpha protects cultured mouse embryonic cortical neurons from N-methyl-D-aspartate (NMDA) toxicity, but coapplication of both does not. PubMed:19293145

Appears in Networks:

Out-Edges 1

act(a(CHEBI:"N-methyl-D-aspartic acid")) increases path(HBP:neurotoxicity) View Subject | View Object

There is evidence that nicotine’s neuroprotective effects can be mediated through tumor necrosis factor-alpha (TNF-alpha). Application of either nicotine or TNF-alpha protects cultured mouse embryonic cortical neurons from N-methyl-D-aspartate (NMDA) toxicity, but coapplication of both does not. PubMed:19293145

Appears in Networks:

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.