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

Entity

Name
response to insulin
Namespace
go
Namespace Version
20180828
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/1b20f0637c395f8aa89c2e2e342d7b704062c242/external/go-names.belns

Appears in Networks 1

In-Edges 3

p(FPLX:PPAR) association bp(GO:"response to insulin") View Subject | View Object

PPARs have been shown to play essential roles in energy metabolism, adipocyte differentiation, insulin sensitization and tumor suppression. PubMed:21718217

p(FPLX:PPAR) positiveCorrelation bp(GO:"response to insulin") View Subject | View Object

PPARs have been shown to play essential roles in energy metabolism, adipocyte differentiation, insulin sensitization and tumor suppression. PubMed:21718217

p(HGNC:PPARG) association bp(GO:"response to insulin") View Subject | View Object

PPAR-g is involved in lipid storage, insulin sensitivity and energy metabolism and has been shown to promote adipocyte differentiation [21]. PubMed:21718217

Out-Edges 3

bp(GO:"response to insulin") association p(FPLX:PPAR) View Subject | View Object

PPARs have been shown to play essential roles in energy metabolism, adipocyte differentiation, insulin sensitization and tumor suppression. PubMed:21718217

bp(GO:"response to insulin") positiveCorrelation p(FPLX:PPAR) View Subject | View Object

PPARs have been shown to play essential roles in energy metabolism, adipocyte differentiation, insulin sensitization and tumor suppression. PubMed:21718217

bp(GO:"response to insulin") association p(HGNC:PPARG) View Subject | View Object

PPAR-g is involved in lipid storage, insulin sensitivity and energy metabolism and has been shown to promote adipocyte differentiation [21]. PubMed:21718217

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.