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p(FPLX:NOS)

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

Entity

Name
NOS
Namespace
FPLX
Namespace Version
20180917
Namespace URL
https://raw.githubusercontent.com/sorgerlab/famplex/e8ae9926ff95266032cb74f77973c84939bffbeb/export/famplex.belns

Appears in Networks 2

Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0

Molecular chaperones and proteostasis regulation during redox imbalance v1.0.0

In-Edges 2

act(a(HP:"inhibitory interneuron")) increases act(p(FPLX:NOS)) View Subject | View Object

Nicotinic activation of inhibitory interneurons increases their activity and activates nitric oxide synthetase PubMed:21482353

Appears in Networks:

p(FPLX:CHRN) increases act(p(FPLX:NOS)) View Subject | View Object

Nicotinic activation of inhibitory interneurons increases their activity and activates nitric oxide synthetase PubMed:21482353

Appears in Networks:

Out-Edges 3

act(p(FPLX:NOS)) increases a(CHEBI:radical) View Subject | View Object

Excessive amounts of free radicals and radical-derived reactive species may also arise from the activity of NAD(P)H oxidases (NOx) and/or xanthine oxidase, as well as from nitric oxide synthase (NOS), P450 metabolism and peroxisomes. PubMed:24563850

Appears in Networks:

act(p(FPLX:NOS)) increases a(CHEBI:"reactive oxygen species") View Subject | View Object

Excessive amounts of free radicals and radical-derived reactive species may also arise from the activity of NAD(P)H oxidases (NOx) and/or xanthine oxidase, as well as from nitric oxide synthase (NOS), P450 metabolism and peroxisomes. PubMed:24563850

Appears in Networks:

act(p(FPLX:NOS)) increases a(CHEBI:"reactive nitrogen species") View Subject | View Object

Excessive amounts of free radicals and radical-derived reactive species may also arise from the activity of NAD(P)H oxidases (NOx) and/or xanthine oxidase, as well as from nitric oxide synthase (NOS), P450 metabolism and peroxisomes. PubMed:24563850

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.