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  3. complex(a(MESH:VU0357017), p(HGNC:CHRM1))

complex(a(MESH:VU0357017), p(HGNC:CHRM1))

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Components

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:VU0357017) increases complex(a(MESH:VU0357017), p(HGNC:CHRM1)) View Subject | View Object

More recently, the M1-selective allosteric agonist VU0357017 was discovered, which displayed improved potency via binding to a novel allosteric site on the M1 mAChR. VU0357017 significantly blocked scopolamine-impaired contextual fear conditioning and enhanced spatial and contextual fear learning PubMed:24511233

Appears in Networks:

Out-Edges 3

complex(a(MESH:VU0357017), p(HGNC:CHRM1)) hasComponent a(MESH:VU0357017) View Subject | View Object

Appears in Networks:

complex(a(MESH:VU0357017), p(HGNC:CHRM1)) hasComponent p(HGNC:CHRM1) View Subject | View Object

Appears in Networks:

complex(a(MESH:VU0357017), p(HGNC:CHRM1)) increases act(p(HGNC:CHRM1)) View Subject | View Object

More recently, the M1-selective allosteric agonist VU0357017 was discovered, which displayed improved potency via binding to a novel allosteric site on the M1 mAChR. VU0357017 significantly blocked scopolamine-impaired contextual fear conditioning and enhanced spatial and contextual fear learning PubMed:24511233

Appears in Networks:

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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.