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a(CHEBI:pimozide)

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Entity

Name
pimozide
Namespace
chebi
Namespace Version
20190224
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/efc856fb009a39e4d284269a6801f79ed3d3cf56/external/chebi-names.belns

Appears in Networks 1

mTOR-Related Brain Dysfunctions in Neuropsychiatric Disorders v1.0.0

In-Edges 0

Out-Edges 4

a(CHEBI:pimozide) increases bp(GO:autophagy) View Subject | View Object

Notably, high-throughput image-based screens performed by Zhang et al. (2007) [60] on a human glioblastoma H4 cell line expressing human LC3 coupled with green fluorescent protein (GFP) led us to disclose that three typical antipsychotic drugs (fluspirilene, trifluoperazine, and pimozide) are effective autophagy inducers. PubMed:30061532

Appears in Networks:

a(CHEBI:pimozide) increases bp(GO:autophagy) View Subject | View Object

For instance, the increase in autophagy flux induced by pimozide occurs along with a depression of phosphorylated tau in a transgenic mouse model of AD PubMed:30061532

Appears in Networks:
Annotations
MeSH
Frontal Lobe
MeSH
Alzheimer Disease

a(CHEBI:pimozide) increases act(p(HGNC:PRKAA1)) View Subject | View Object

In particular, pimozide provides an mTOR-independent autophagy induction, because it directly activates AMPK1, which in turn promotes autophagy through the phosphorylation of ULK1 PubMed:30061532

Appears in Networks:

a(CHEBI:pimozide) decreases p(MGI:Mapt, pmod(Ph)) View Subject | View Object

For instance, the increase in autophagy flux induced by pimozide occurs along with a depression of phosphorylated tau in a transgenic mouse model of AD PubMed:30061532

Appears in Networks:
Annotations
MeSH
Frontal Lobe
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.