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a(CHEBI:"1-(5-chloro-2,4-dimethoxyphenyl)-3-(5-methyl-3-isoxazolyl)urea")

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Entity

Name
1-(5-chloro-2,4-dimethoxyphenyl)-3-(5-methyl-3-isoxazolyl)urea
Namespace
chebi
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/chebi-names.belns

Appears in Networks 2

Nicotinic Acetylcholine Receptors and Nicotinic Cholinergic Mechanisms of the Central Nervous System v1.0.0

B-973, a novel piperazine positive allosteric modulator of the α7 nicotinic acetylcholine receptor v1.0.0

In-Edges 0

Out-Edges 3

a(CHEBI:"1-(5-chloro-2,4-dimethoxyphenyl)-3-(5-methyl-3-isoxazolyl)urea") regulates act(p(HGNC:CHRNA7)) View Subject | View Object

Another allosteric effector, 1-(5-chloro-2,4-dimethoxy-phenyl)-3-(5-methyl-isoxazol-3-yl)-urea (PNU-120596), dramatically modifies the response time course, ampliude of the current, and agonist sensitivity of the rat and human α7 nAChRs (70). PubMed:17009926

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a(CHEBI:"1-(5-chloro-2,4-dimethoxyphenyl)-3-(5-methyl-3-isoxazolyl)urea") increases complex(a(GO:membrane), a(PUBCHEM:16068384)) View Subject | View Object

PNU-120596 and B-973 enhanced [3H]A-585539 binding to rat brain membranes (Fig. 5B,C) PubMed:28132910

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Annotations
MeSH
Brain

a(CHEBI:"1-(5-chloro-2,4-dimethoxyphenyl)-3-(5-methyl-3-isoxazolyl)urea") increases complex(a(MESH:"alpha7 Nicotinic Acetylcholine Receptor"), a(PUBCHEM:16068384)) View Subject | View Object

[3H]A-585539 saturation binding revealed that B-973 and PNU-120596 increased the affinity of the receptor for [3H]A-585539 approximately 4-fold without changing the apparent Bmax (Fig. 5D) PubMed:28132910

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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.