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Entity

Name
proteasome inhibitor
Namespace
chebi
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/chebi-names.belns

Appears in Networks 2

albuquerque2009 v1.0.0

This file encodes the article Mammalian Nicotinic Acetylcholine Receptors: From Structure to Function by Albuquerque et al, 2009

In-Edges 0

Out-Edges 4

a(CHEBI:"proteasome inhibitor") decreases deg(p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits", loc(GO:"endoplasmic reticulum"))) View Subject | View Object

Thus inhibitors of proteasome function block endoplasmic reticulum-associated degradation of unassembled AChR subunits, which in turn increases the availability of subunits for assembly into mature receptors that are trafficked to the cell surface. PubMed:19126755

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a(CHEBI:"proteasome inhibitor") increases bp(GO:autophagy) View Subject | View Object

Proteasome inhibitors and trehalose increase autophagy and decrease tau content by up-regulating the expression of cochaperone BAG3 targeting tau to the autophagy pathway for degradation (Lei et al. 2015) PubMed:29626319

a(CHEBI:"proteasome inhibitor") decreases p(HGNC:MAPT) View Subject | View Object

Proteasome inhibitors and trehalose increase autophagy and decrease tau content by up-regulating the expression of cochaperone BAG3 targeting tau to the autophagy pathway for degradation (Lei et al. 2015) PubMed:29626319

a(CHEBI:"proteasome inhibitor") increases p(HGNC:BAG3) View Subject | View Object

Proteasome inhibitors and trehalose increase autophagy and decrease tau content by up-regulating the expression of cochaperone BAG3 targeting tau to the autophagy pathway for degradation (Lei et al. 2015) PubMed:29626319

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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.