1. Catalog
  2. Nodes
  3. p(HGNC:CNR1)

p(HGNC:CNR1)

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

Entity

Name
CNR1
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

albuquerque2009 v1.0.0

This file encodes the article Mammalian Nicotinic Acetylcholine Receptors: From Structure to Function by Albuquerque et al, 2009

In-Edges 1

a(CHEBI:anandamide) association p(HGNC:CNR1) View Subject | View Object

Anandamide, a compound originally isolated from porcine brain extracts, is known to interact with canabinoid receptors 1 and 2 in the brain (120, 159). However, anandamide interacts with numerous other receptors, including voltage-gated Ca2+ channels (357), voltage-gated K+ channels (293), 5-HT3 receptors (358), kainate receptors (3), and nAChRs (356). At nanomolar concentrations, anandamine blocks noncompetitively and voltage independently the activation of alpha7 nAChRs ectopically expressed in Xenopus oocytes (356). It also inhibits the activity of alpha4beta2 nAChRs expressed in SH-EP1 cells (443). PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

Out-Edges 1

p(HGNC:CNR1) association a(CHEBI:anandamide) View Subject | View Object

Anandamide, a compound originally isolated from porcine brain extracts, is known to interact with canabinoid receptors 1 and 2 in the brain (120, 159). However, anandamide interacts with numerous other receptors, including voltage-gated Ca2+ channels (357), voltage-gated K+ channels (293), 5-HT3 receptors (358), kainate receptors (3), and nAChRs (356). At nanomolar concentrations, anandamine blocks noncompetitively and voltage independently the activation of alpha7 nAChRs ectopically expressed in Xenopus oocytes (356). It also inhibits the activity of alpha4beta2 nAChRs expressed in SH-EP1 cells (443). PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

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.