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a(HBP:HBP00065)

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

Entity

Name
HBP00065
Namespace
HBP
Namespace Version
20181029
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/785431732a26d6809b4162d98b95687d16404e63/export/hbp.belns

Appears in Networks 1

Proteolytic processing of Alzeimer's beta-amyloid precursor protein v1.0.1

In-Edges 2

a(MESH:"Receptors, N-Methyl-D-Aspartate") increases a(HBP:HBP00065) View Subject | View Object

The levels of APP isoforms with a KPI domain seem to be elevated in patients with AD (Menendez- Gonzalez et al. 2005) and a splicing shift in neurons from APP695 to KPI-containing APP isoforms, along with increased Abeta generation, is observed when the NMDA receptor is activated (Bordji et al. 2010) PubMed:22122372

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Neurons

path(MESH:"Alzheimer Disease") positiveCorrelation a(HBP:HBP00065) View Subject | View Object

The levels of APP isoforms with a KPI domain seem to be elevated in patients with AD (Menendez- Gonzalez et al. 2005) and a splicing shift in neurons from APP695 to KPI-containing APP isoforms, along with increased Abeta generation, is observed when the NMDA receptor is activated (Bordji et al. 2010) PubMed:22122372

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Neurons

Out-Edges 1

a(HBP:HBP00065) positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

The levels of APP isoforms with a KPI domain seem to be elevated in patients with AD (Menendez- Gonzalez et al. 2005) and a splicing shift in neurons from APP695 to KPI-containing APP isoforms, along with increased Abeta generation, is observed when the NMDA receptor is activated (Bordji et al. 2010) PubMed:22122372

Appears in Networks:
Annotations
Confidence
Medium
MeSH
Neurons

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.