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bp(MESH:"Drug Interactions")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
Drug Interactions
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 1

Naturally-expressed nicotinic acetylcholine receptor subtypes v1.0.0

In-Edges 2

p(HGNC:CHRNA6) association bp(MESH:"Drug Interactions") View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

r(HGNC:CHRNA6) association bp(MESH:"Drug Interactions") View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

Out-Edges 2

bp(MESH:"Drug Interactions") association r(HGNC:CHRNA6) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

bp(MESH:"Drug Interactions") association p(HGNC:CHRNA6) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

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.