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p(INTERPRO:"NEAT domain")

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

Entity

Name
NEAT domain
Namespace
interpro
Namespace Version
20181021
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/f2f993e599694ab5ce989cc39d789a499f75db99/external/interpro-names.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

complex(p(HGNC:HP), p(INTERPRO:"NEAT domain")) hasComponent p(INTERPRO:"NEAT domain") View Subject | View Object

Appears in Networks:

complex(a(CHEBI:heme), p(INTERPRO:"NEAT domain")) hasComponent p(INTERPRO:"NEAT domain") View Subject | View Object

Appears in Networks:

Out-Edges 3

p(INTERPRO:"NEAT domain") decreases act(a(CHEBI:Peroxidase)) View Subject | View Object

Our data demonstrate a significant decrease in peroxidase activity of hemoglobin incubated with NEATHP, indicating heme transfer. PubMed:28088643

Appears in Networks:
Annotations
MeSH
Liver
MeSH
Macrophages
MeSH
Anemia, Sickle Cell
Text Location
Results

p(INTERPRO:"NEAT domain") decreases act(a(CHEBI:Peroxidase)) View Subject | View Object

Therefore, we demonstrated that an active scavenging of heme by NEAT can reduce peroxidase activity of hemoglobin, whereas passive scavengers cannot. PubMed:28088643

Appears in Networks:
Annotations
MeSH
Liver
MeSH
Macrophages
MeSH
Anemia, Sickle Cell
Text Location
Results

p(INTERPRO:"NEAT domain") decreases a(CHEBI:heme) View Subject | View Object

Therefore, we demonstrated that an active scavenging of heme by NEAT can reduce peroxidase activity of hemoglobin, whereas passive scavengers cannot. PubMed:28088643

Appears in Networks:
Annotations
MeSH
Liver
MeSH
Macrophages
MeSH
Anemia, Sickle Cell
Text Location
Results

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.