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p(HGNC:SUGT1)

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

Entity

Name
SUGT1
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 2

A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways v1.0.0

Activation and regulation of the inflammasomes v1.0.0

In-Edges 5

complex(p(HGNC:HSP90AB1), p(HGNC:SUGT1)) hasComponent p(HGNC:SUGT1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:HSPA8), p(HGNC:SUGT1)) hasComponent p(HGNC:SUGT1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:SUGT1), p(INTERPRO:"Leucine-rich repeat domain superfamily")) hasComponent p(HGNC:SUGT1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:SUGT1), p(INTERPRO:"Leucine-rich repeat")) hasComponent p(HGNC:SUGT1) View Subject | View Object

Appears in Networks:

composite(p(FPLX:HSP90), p(HGNC:SUGT1)) hasComponent p(HGNC:SUGT1) View Subject | View Object

Appears in Networks:

Out-Edges 2

p(HGNC:SUGT1) directlyIncreases complex(p(HGNC:SUGT1), p(INTERPRO:"Leucine-rich repeat domain superfamily")) View Subject | View Object

Similarly, although SGT1 interacted with some non-LRR proteins, it had significantly stronger interactions with LRR proteins than with other domains (p <0.0001) PubMed:25036637

Appears in Networks:

p(HGNC:SUGT1) directlyIncreases complex(p(HGNC:SUGT1), p(INTERPRO:"Leucine-rich repeat")) View Subject | View Object

As reported before (Taipale et al., 2012), CDC37 interacted with the kinase domain of ARAF, and SGT1 interacted with the LRR domain of FBXL2 (Figure 7B) PubMed:25036637

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.