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Entity

Name
N-(1,2,3,4-tetrahydro-1-naphthyl)-4-nitroaniline
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-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 0

Out-Edges 3

a(MESH:"N-(1,2,3,4-tetrahydro-1-naphthyl)-4-nitroaniline") decreases act(p(HGNC:CHRNA7)) View Subject | View Object

Finally, bupropion (16, 294, 433) and UCI-30002 (514) are examples of synthetic compounds that act as noncompetitive inhibitors of different nAChRs, including those made up of the subunits alpha7, alpha4beta2, or alpha3beta4. Both compounds effectively decrease nicotine self-administration in rats (280, 514). Bupropion is presently approved as an adjunct therapy for smoking cessation. PubMed:19126755

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a(MESH:"N-(1,2,3,4-tetrahydro-1-naphthyl)-4-nitroaniline") decreases act(p(HBP:"alpha-4 beta-2 nAChR")) View Subject | View Object

Finally, bupropion (16, 294, 433) and UCI-30002 (514) are examples of synthetic compounds that act as noncompetitive inhibitors of different nAChRs, including those made up of the subunits alpha7, alpha4beta2, or alpha3beta4. Both compounds effectively decrease nicotine self-administration in rats (280, 514). Bupropion is presently approved as an adjunct therapy for smoking cessation. PubMed:19126755

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Text Location
Review

a(MESH:"N-(1,2,3,4-tetrahydro-1-naphthyl)-4-nitroaniline") decreases act(p(HBP:"alpha-3 beta-4 nAChR")) View Subject | View Object

Finally, bupropion (16, 294, 433) and UCI-30002 (514) are examples of synthetic compounds that act as noncompetitive inhibitors of different nAChRs, including those made up of the subunits alpha7, alpha4beta2, or alpha3beta4. Both compounds effectively decrease nicotine self-administration in rats (280, 514). Bupropion is presently approved as an adjunct therapy for smoking cessation. PubMed:19126755

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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.