Name
pituitary gland
Namespace Keyword
Anatomy
Namespace
Uberon
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/anatomy/anatomy-20170511.belanno

Sample Annotated Edges 3

a(CHEBI:antalarmin) directlyDecreases act(p(RGD:Crh)) View Subject | View Object

Antalarmin potently displaced 1251-oCRH binding, exhibiting respectively Ki values of 1. 9 f 0.9,. 1.3 f .4, and 1.4 f .6 nM (mean f SEM) in pituitary, cerebellum, and frontal cortex homogenates.Antalarmin, by effectively displacing IoCRH binding in tissues predominately expressing CRHRl but not in tissues expressing CRHR2, appears to be a specific CRHRl receptor antagonist. PubMed:8940412

a(CHEBI:antalarmin) directlyDecreases act(p(RGD:Crhr1)) View Subject | View Object

Antalarmin potently displaced 1251-oCRH binding, exhibiting respectively Ki values of 1. 9 f 0.9,. 1.3 f .4, and 1.4 f .6 nM (mean f SEM) in pituitary, cerebellum, and frontal cortex homogenates.Antalarmin, by effectively displacing IoCRH binding in tissues predominately expressing CRHRl but not in tissues expressing CRHR2, appears to be a specific CRHRl receptor antagonist. PubMed:8940412

act(p(RGD:Crh)) directlyIncreases act(p(RGD:Crhr1)) View Subject | View Object

Antalarmin potently displaced 1251-oCRH binding, exhibiting respectively Ki values of 1. 9 f 0.9,. 1.3 f .4, and 1.4 f .6 nM (mean f SEM) in pituitary, cerebellum, and frontal cortex homogenates.Antalarmin, by effectively displacing IoCRH binding in tissues predominately expressing CRHRl but not in tissues expressing CRHR2, appears to be a specific CRHRl receptor antagonist. PubMed:8940412

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.