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p(HGNC:GNAQ)

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

Entity

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

Appears in Networks 2

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

Identification and Characterization of a G Protein-binding Cluster in alpha7 Nicotinic Acetylcholine Receptors v1.0.0

In-Edges 5

complex(p(HGNC:CHRM1), p(HGNC:GNAQ)) hasComponent p(HGNC:GNAQ) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRM3), p(HGNC:GNAQ)) hasComponent p(HGNC:GNAQ) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRM5), p(HGNC:GNAQ)) hasComponent p(HGNC:GNAQ) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) hasComponent p(HGNC:GNAQ) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A")), p(HGNC:GNAQ)) hasComponent p(HGNC:GNAQ) View Subject | View Object

Appears in Networks:

Out-Edges 1

p(HGNC:GNAQ) increases complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) View Subject | View Object

As shown in Fig. 1A, α7 nAChRs were found in association with Gαs, Gαq, and Gαi proteins within the hippocampus and prefrontal cortex. Striatal fractions suggest α7 interaction with Gαq and Gαi subunits (Fig. 1A). PubMed:26088141

Appears in Networks:
Annotations
MeSH
Hippocampus
MeSH
Prefrontal Cortex

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.