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p(FPLX:"IKK_complex", pmod(Ph))

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

Entity

Name
IKK_complex
Namespace
FPLX
Namespace Version
20190217
Namespace URL
https://raw.githubusercontent.com/sorgerlab/famplex/d9ec0526c20795146a9a6aef17496efe1a36cac6/export/famplex.belns

Appears in Networks 2

Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease v1.0.0

Upstream regulators and downstream effectors of NF-κBinAlzheimer's disease v1.0.0

In-Edges 4

a(CHEBI:resveratrol) decreases p(FPLX:"IKK_complex", pmod(Ph)) View Subject | View Object

Besides, it decreased the phosphorylation of IKK and IB through LPS stimulation and subse-quently inhibited the activity of NF-B [115]. PubMed:29179999

Appears in Networks:

p(FPLX:"IKK_complex") hasVariant p(FPLX:"IKK_complex", pmod(Ph)) View Subject | View Object

Appears in Networks:

p(HGNC:IL1B) increases p(FPLX:"IKK_complex", pmod(Ph)) View Subject | View Object

Nuclear local- ization of NF-κB in differentiated neuron progenitor cells (NPCs) is in- creasing following exposure to IL-1β and TNF-α, strong inducers of the NF-κB pathway with increase in the phosphorylation of IKK and p65 while decrease in the level of IκB [32]. PubMed:27288790

Appears in Networks:

p(HGNC:TNF) increases p(FPLX:"IKK_complex", pmod(Ph)) View Subject | View Object

Nuclear local- ization of NF-κB in differentiated neuron progenitor cells (NPCs) is in- creasing following exposure to IL-1β and TNF-α, strong inducers of the NF-κB pathway with increase in the phosphorylation of IKK and p65 while decrease in the level of IκB [32]. PubMed:27288790

Appears in Networks:

Out-Edges 0

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.