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a(PUBCHEM:9867750)

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Entity

Name
9867750
Namespace
PUBCHEM
Namespace Version
None
Pattern
^\d+$

Appears in Networks 1

Alzheimer's Disease: Targeting the Cholinergic System v1.0.0

In-Edges 0

Out-Edges 4

a(PUBCHEM:9867750) increases tloc(a(CHEBI:acetylcholine), fromLoc(GO:intracellular), toLoc(GO:"extracellular region")) View Subject | View Object

Moreover, the use of M2 antagonists, such as SCH-57790 and SC-72788, can lead to blockage of M2-mediated inhibition of presynaptic release of ACh, which can activate M1 and nicotinic receptors, ameliorating cognitive impairment in AD PubMed:26813123

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

a(PUBCHEM:9867750) increases act(p(HGNC:CHRM1)) View Subject | View Object

Moreover, the use of M2 antagonists, such as SCH-57790 and SC-72788, can lead to blockage of M2-mediated inhibition of presynaptic release of ACh, which can activate M1 and nicotinic receptors, ameliorating cognitive impairment in AD PubMed:26813123

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

a(PUBCHEM:9867750) increases act(a(MESH:"Receptors, Nicotinic")) View Subject | View Object

Moreover, the use of M2 antagonists, such as SCH-57790 and SC-72788, can lead to blockage of M2-mediated inhibition of presynaptic release of ACh, which can activate M1 and nicotinic receptors, ameliorating cognitive impairment in AD PubMed:26813123

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

a(PUBCHEM:9867750) increases bp(GO:cognition) View Subject | View Object

Moreover, the use of M2 antagonists, such as SCH-57790 and SC-72788, can lead to blockage of M2-mediated inhibition of presynaptic release of ACh, which can activate M1 and nicotinic receptors, ameliorating cognitive impairment in AD PubMed:26813123

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

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.