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Appears in Networks 2

Amyloid Precursor Protein Trafficking, Processing, and Function v1.0.0

Amyloid Precursor Protein Trafficking, Processing, and Function by Thinakaran, et al., 2008

APP processing in Alzheimer's disease v1.0.1

APP processing in Alzheimer's disease

In-Edges 1

rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) association p(HGNC:BACE2) View Subject | View Object

As DS also results in Abeta accumulation, the genes location suggests a link between BACE2 and APP processing PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
Medium
MeSH
Neurons

Out-Edges 3

act(p(HGNC:BACE2), ma(pep)) increases rxn(reactants(p(HGNC:APP)), products(p(HGNC:APP, frag("17_*")), p(HGNC:APP, frag("1_16")))) View Subject | View Object

Several zinc metallo proteinases such asTACE/ADAM17, ADAM9, ADAM10 and MDC-9 and the aspartyl protease BACE2 can cleave APP at the α-secretase site, located within the Aβ domain between Lys 16 and Leu 17 , essentially precluding the generation of intact Aβ(1). PubMed:18650430

p(HGNC:BACE2) association rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

As DS also results in Abeta accumulation, the genes location suggests a link between BACE2 and APP processing PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
Medium
MeSH
Neurons

p(HGNC:BACE2) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Indeed, BACE2 cleaves beta-secretase substrates such as wild-type and Swedish mutant APP, similar to BACE1, in enzymatic In vitro assays [89] PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
High
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.