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p(FPLX:PPP2C, pmod(Ph, Tyr, 307))

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

Entity

Name
PPP2C
Namespace
FPLX
Namespace Version
20180917
Namespace URL
https://raw.githubusercontent.com/sorgerlab/famplex/e8ae9926ff95266032cb74f77973c84939bffbeb/export/famplex.belns

Appears in Networks 1

PP2A and Alzheimer Disease v1.0.0

In-Edges 2

p(FPLX:PPP2C) hasVariant p(FPLX:PPP2C, pmod(Ph, Tyr, 307)) View Subject | View Object

Appears in Networks:

path(MESH:"Alzheimer Disease") positiveCorrelation p(FPLX:PPP2C, pmod(Ph, Tyr, 307)) View Subject | View Object

High levels of PP2A C phosphorylated at Tyr307 have been reported in the entorhinal cortex, hippocampus and frontal cortex in AD compared to controls [81]. PubMed:22299660

Appears in Networks:
Annotations
MeSH
Entorhinal Cortex
MeSH
Frontal Lobe
MeSH
Hippocampus

Out-Edges 2

p(FPLX:PPP2C, pmod(Ph, Tyr, 307)) increases act(p(FPLX:PPP2)) View Subject | View Object

The other important post-translational modi- fication is phosphorylation of PP2A C at Tyr307 which in- hibits PP2A activity [74-76]. PubMed:22299660

Appears in Networks:

p(FPLX:PPP2C, pmod(Ph, Tyr, 307)) positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

High levels of PP2A C phosphorylated at Tyr307 have been reported in the entorhinal cortex, hippocampus and frontal cortex in AD compared to controls [81]. PubMed:22299660

Appears in Networks:
Annotations
MeSH
Entorhinal Cortex
MeSH
Frontal Lobe
MeSH
Hippocampus

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.