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p(HGNC:KIF5B)

Equivalencies: 0 | Classes: 1 | Children: 0 | Explore

Entity

Name
KIF5B
Namespace
HGNC
Namespace Version
20180215
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/namespace/hgnc/hgnc-20180215.belns

Appears in Networks 2

APP processing in Alzheimer's disease v1.0.1

APP processing in Alzheimer's disease

TAU and Interaction Partners v1.2.5

TAU Interactions Section of NESTOR

In-Edges 2

complex(p(HGNC:APP), p(HGNC:KIF5B)) hasComponent p(HGNC:KIF5B) View Subject | View Object

Appears in Networks:

complex(GO:microtubule) association p(HGNC:KIF5B) View Subject | View Object

These include the scaffold protein JNK interacting protein (JIP) that is involved in the linkage of cargos to the kinesin-I motor complex via KLC (25, 28–33).This complex is formed by the kinesin heavy chain (KIF5; previously termed KHC), which interacts with microtubules, and kinesin light chain (KLC), which mediates cargo linkage. In addition, scaffolding proteins are involved such as the JIP1 that binds to KLC (21). PubMed:19491104

Appears in Networks:

Out-Edges 2

p(HGNC:KIF5B) isA complex(GO:"kinesin complex") View Subject | View Object

Appears in Networks:

p(HGNC:KIF5B) association complex(GO:microtubule) View Subject | View Object

These include the scaffold protein JNK interacting protein (JIP) that is involved in the linkage of cargos to the kinesin-I motor complex via KLC (25, 28–33).This complex is formed by the kinesin heavy chain (KIF5; previously termed KHC), which interacts with microtubules, and kinesin light chain (KLC), which mediates cargo linkage. In addition, scaffolding proteins are involved such as the JIP1 that binds to KLC (21). PubMed:19491104

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.