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Appears in Networks 3

In-Edges 2

complex(p(HGNC:BAG6), p(MESH:Proteins, pmod(HBP:misfolding))) association bp(GO:"ERAD pathway") View Subject | View Object

Specifically, Bag6 recognizes and binds to long hydrophobic stretches of the polypeptide chain of misfolded proteins targeted by the ERAD (endoplasmic reticulum associated protein degradation) pathway [56–58] PubMed:24457024

act(p(HGNC:VCP)) regulates bp(GO:"ERAD pathway") View Subject | View Object

For example, p62, an adaptor protein for autophagy, also influences proteasomal degradation, whereas VCP/p97 acting through p62 and ubiquitin regulates both the proteasome-dependent endoplasmic reticulum–associated degradation (ERAD) pathway and aspects of autophagosome maturation (Tresse et al. 2010). PubMed:22908190

Out-Edges 3

bp(GO:"ERAD pathway") regulates deg(p(HGNC:CFTR)) View Subject | View Object

It should be noted that CFTR degradation is mediated by Endoplasmic Reticulum Associated Degradation (ERAD—a quality control mechanism that eliminates, via the UPS, misfolded/mutated/abnormal membrane or lumenal ER proteins following their retrotranslocation to the cytosol via the Sec61 translocation channel). PubMed:14556719

bp(GO:"ERAD pathway") increases deg(p(HGNC:PRNP, pmod(HBP:misfolding))) View Subject | View Object

Alternatively, if misfolded, it is believed to be directed to degradation via ERAD (Yedidia et al., 2001). PubMed:14556719

bp(GO:"ERAD pathway") association complex(p(HGNC:BAG6), p(MESH:Proteins, pmod(HBP:misfolding))) View Subject | View Object

Specifically, Bag6 recognizes and binds to long hydrophobic stretches of the polypeptide chain of misfolded proteins targeted by the ERAD (endoplasmic reticulum associated protein degradation) pathway [56–58] PubMed:24457024

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.