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p(HGNC:PRKAA1)

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

Entity

Name
PRKAA1
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 2

Alzheimer’s disease and the autophagic-lysosomal system v1.0.0

mTOR-Related Brain Dysfunctions in Neuropsychiatric Disorders v1.0.0

In-Edges 1

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:

Out-Edges 3

p(HGNC:PRKAA1) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 262)) View Subject | View Object

A recent study has demonstrated that activation of AMPKα1 enhances tau phosphorylation, while inhibition reduces tau phosphorylation at Ser-262, an epitope that is increased in early stages of AD, which promotes the autophagic degradation of tau [87] PubMed:29758300

Appears in Networks:

p(HGNC:PRKAA1) hasVariant p(HGNC:PRKAA1, pmod(Ph)) View Subject | View Object

Appears in Networks:

act(p(HGNC:PRKAA1)) increases p(HGNC:ULK1, pmod(Ph)) 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:

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.