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

Entity

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

Appears in Networks 1

In-Edges 0

Out-Edges 4

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

Selenium deficits have been linked to AD, and thus it is interesting that seleno- methionine boosted ALN flux, from AMPK recruit- ment through autophagosome formation to lysosomal degradation, in the 3×Tg AD mouse model 112 . PubMed:30116051

a(CHEBI:selenomethionine) increases act(p(FPLX:AMPK)) View Subject | View Object

Selenium deficits have been linked to AD, and thus it is interesting that seleno- methionine boosted ALN flux, from AMPK recruit- ment through autophagosome formation to lysosomal degradation, in the 3×Tg AD mouse model 112 . PubMed:30116051

a(CHEBI:selenomethionine) increases bp(GO:"autophagosome assembly") View Subject | View Object

Selenium deficits have been linked to AD, and thus it is interesting that seleno- methionine boosted ALN flux, from AMPK recruit- ment through autophagosome formation to lysosomal degradation, in the 3×Tg AD mouse model 112 . PubMed:30116051

a(CHEBI:selenomethionine) increases bp(GO:"lysosomal microautophagy") View Subject | View Object

Selenium deficits have been linked to AD, and thus it is interesting that seleno- methionine boosted ALN flux, from AMPK recruit- ment through autophagosome formation to lysosomal degradation, in the 3×Tg AD mouse model 112 . PubMed:30116051

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.