1. Catalog
  2. Nodes
  3. complex(a(GO:"proteasome regulatory particle"), p(HGNC:MAPT, pmod(HBP:hyperphosphorylation)))

complex(a(GO:"proteasome regulatory particle"), p(HGNC:MAPT, pmod(HBP:hyperphosphorylation)))

Appears in Networks 1

The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0

In-Edges 1

act(complex(GO:"proteasome complex")) negativeCorrelation complex(a(GO:"proteasome regulatory particle"), p(HGNC:MAPT, pmod(HBP:hyperphosphorylation))) View Subject | View Object

Another study of AD brain tissues showed that hyperphosphorylated tau was bound to the proteasome, presumably to the 19S cap portion, and the more tau that was bound, the more that proteasomes appeared to be inhibited (Keck et al. 2003). PubMed:22908190

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

Out-Edges 3

complex(a(GO:"proteasome regulatory particle"), p(HGNC:MAPT, pmod(HBP:hyperphosphorylation))) hasComponent a(GO:"proteasome regulatory particle") View Subject | View Object

Appears in Networks:

complex(a(GO:"proteasome regulatory particle"), p(HGNC:MAPT, pmod(HBP:hyperphosphorylation))) hasComponent p(HGNC:MAPT, pmod(HBP:hyperphosphorylation)) View Subject | View Object

Appears in Networks:

complex(a(GO:"proteasome regulatory particle"), p(HGNC:MAPT, pmod(HBP:hyperphosphorylation))) negativeCorrelation act(complex(GO:"proteasome complex")) View Subject | View Object

Another study of AD brain tissues showed that hyperphosphorylated tau was bound to the proteasome, presumably to the 19S cap portion, and the more tau that was bound, the more that proteasomes appeared to be inhibited (Keck et al. 2003). PubMed:22908190

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

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.