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Entity

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

Appears in Networks 3

In-Edges 3

p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits") association a(MESH:"Central Nervous System") View Subject | View Object

The nAChRs are ligand-gated ion channels that are present in both the PNS (at the skeletal neuromuscular junction and in the autonomic nervous system) and the CNS. PubMed:19721446

complex(a(MESH:"Receptors, Muscarinic"), a(MESH:Acetylcholine)) increases act(a(MESH:"Central Nervous System")) View Subject | View Object

The neurotransmitter acetylcholine (ACh) is synthesised, stored and released by cholinergic neurons, and exerts its effects on the central nervous system (CNS) and peripheral nervous system (PNS) through two distinct types of receptor: the muscarinic and nicotinic ACh receptors (mAChRs and nAChRs). PubMed:28901280

a(CHEBI:bupropion) increases act(a(MESH:"Central Nervous System")) View Subject | View Object

Bupropion [a.k.a. amfebutamone, (RS)-2-(tert-Butylamino)-1-(3-chlorophenyl)propan1-one, 3-Chloro tert-butylcathinone, 3-Chloro-N-tert-butyl-β-ketoamphetamine; Fig. 4] is a phenylaminoketone or cathinone derivative that is a weak central nervous system (CNS) stimulant PubMed:28391535

Out-Edges 1

a(MESH:"Central Nervous System") association p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits") View Subject | View Object

The nAChRs are ligand-gated ion channels that are present in both the PNS (at the skeletal neuromuscular junction and in the autonomic nervous system) and the CNS. PubMed:19721446

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.