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p(HGNC:BACE1, frag("69_75"))

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Entity

Name
BACE1
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

Effects of peptides derived from BACE1 catalytic domain on APP processing v1.0.0

In-Edges 1

p(HGNC:BACE1) hasVariant p(HGNC:BACE1, frag("69_75")) View Subject | View Object

Appears in Networks:

Out-Edges 4

p(HGNC:BACE1, frag("69_75")) causesNoChange sec(a(HBP:"sAPP-beta")) View Subject | View Object

BI-1 treatment dose-dependently inhibited the release of both sAPPa and sAPPb in the conditioned medium (Figs. 2A and 3A). The 50% inhibitory concentrations (IC50) of BI-1 were about 1.5 mM for sAPPa and 0.9 mM for APPb, respectively. But BI-2, which is mainly composed of the core region BACE1 69–73, did not show the inhibitory effects PubMed:17293005

Appears in Networks:

p(HGNC:BACE1, frag("69_75")) causesNoChange sec(a(HBP:"sAPP-alpha")) View Subject | View Object

BI-1 treatment dose-dependently inhibited the release of both sAPPa and sAPPb in the conditioned medium (Figs. 2A and 3A). The 50% inhibitory concentrations (IC50) of BI-1 were about 1.5 mM for sAPPa and 0.9 mM for APPb, respectively. But BI-2, which is mainly composed of the core region BACE1 69–73, did not show the inhibitory effects PubMed:17293005

Appears in Networks:

p(HGNC:BACE1, frag("69_75")) causesNoChange a(CHEBI:"amyloid-beta") View Subject | View Object

Neither, BI-1 nor, BI-3, nor any of the other peptides used in this study, induced any changes of full-length APP levels. They also did not affect the level of b-actin. PubMed:17293005

Appears in Networks:

p(HGNC:BACE1, frag("69_75")) causesNoChange p(HGNC:ACTB) View Subject | View Object

Neither, BI-1 nor, BI-3, nor any of the other peptides used in this study, induced any changes of full-length APP levels. They also did not affect the level of b-actin. PubMed:17293005

Appears in Networks:

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.