1. Catalog
  2. Nodes
  3. a(MESH:Anesthetics)

a(MESH:Anesthetics)

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

Entity

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

Appears in Networks 2

The Nicotinic Acetylcholine Receptor: The Founding Father of the Pentameric Ligand-gated Ion Channel Superfamily v1.0.1

Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system v1.0.0

This document contains the curation of the review article Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system by Taly et al. 2009

In-Edges 0

Out-Edges 3

a(MESH:Anesthetics) decreases p(MESH:"Receptors, Nicotinic") View Subject | View Object

General anesthetics (both intravenous and volatile) negatively modulate excitatory nAChRs but posi- tively enhance inhibitory GABA receptors. PubMed:23038257

Appears in Networks:

a(MESH:Anesthetics) increases p(MESH:"Receptors, GABA") View Subject | View Object

General anesthetics (both intravenous and volatile) negatively modulate excitatory nAChRs but posi- tively enhance inhibitory GABA receptors. PubMed:23038257

Appears in Networks:

a(MESH:Anesthetics) decreases act(p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits")) View Subject | View Object

General anaesthetics are small hydrophobic compounds that typically allosterically inhibit nAChRs by binding to specific residues within small cavities of the TMD61,62. PubMed:19721446

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.