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a(CHEBI:apomorphine)

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Entity

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

Appears in Networks 1

Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0

This file encodes the article Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer’s disease and schizophrenia by Choi et al, 2014

In-Edges 1

a(MESH:"6-(4-butylthio-1,2,5-thiadiazol-3-yl)-1-azabicyclo(3.2.1)octane") decreases act(a(CHEBI:apomorphine)) View Subject | View Object

Conversely, the nonselective mAChR agonist BuTAC ([5R-(exo)]-6-[4-butylthio-1,2,5-thiadiazol-3-yl]-1-azabicyclo-[3.2.1]-octane) shows an antipsychotic profile when tested in numerous preclinical animal models. Administration of BuTAC reduces apomorphine-induced climbing and apomorphine-induced disruptions of prepulse inhibition78,79 and reduces conditioned avoidance responding in wild-type, but not M4 KO mice. PubMed:24511233

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Out-Edges 2

act(a(CHEBI:apomorphine)) decreases bp(GO:"prepulse inhibition") View Subject | View Object

Conversely, the nonselective mAChR agonist BuTAC ([5R-(exo)]-6-[4-butylthio-1,2,5-thiadiazol-3-yl]-1-azabicyclo-[3.2.1]-octane) shows an antipsychotic profile when tested in numerous preclinical animal models. Administration of BuTAC reduces apomorphine-induced climbing and apomorphine-induced disruptions of prepulse inhibition78,79 and reduces conditioned avoidance responding in wild-type, but not M4 KO mice. PubMed:24511233

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act(a(CHEBI:apomorphine)) decreases bp(GO:"prepulse inhibition") View Subject | View Object

LY2033298, a structurally distinct M4-selective PAM, was similarly efficacious in several preclinical models of psychosis, including conditioned avoidance responding and apomorphine-impaired prepulse inhibition PubMed:24511233

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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.