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

Entity

Name
Q9SEH4
Namespace
UNIPROT
Namespace Version
None
Pattern
^([A-N,R-Z][0-9]([A-Z][A-Z, 0-9][A-Z, 0-9][0-9]){1,2})|([O,P,Q][0-9][A-Z, 0-9][A-Z, 0-9][A-Z, 0-9][0-9])(\.\d+)?$

Appears in Networks 1

In-Edges 0

Out-Edges 4

a(UNIPROT:Q9SEH4) increases a(CHEBI:nicotine) View Subject | View Object

N-methyl-Δ1-pyrrolinium is synthesized from arginine and/ or ornithine, and is controlled by putrescine N-methyl transferase (PMT), which is the key enzyme in diverting metabolism towards the biosynthesis of nicotine and others alkaloids [12, 13]. PubMed:19165623

a(UNIPROT:Q9SEH4) increases a(CHEBI:nicotine) View Subject | View Object

Experiments involving RNA-mediated gene silencing with transgenic Nicotiana plants have shown that a decrease in PMT expression levels can lead to low nicotine content PubMed:19165623

a(UNIPROT:Q9SEH4) increases rxn(reactants(a(CHEBI:arginine), a(CHEBI:ornithine)), products(a(CHEBI:"1-methylpyrrolinium"))) View Subject | View Object

N-methyl-Δ1-pyrrolinium is synthesized from arginine and/ or ornithine, and is controlled by putrescine N-methyl transferase (PMT), which is the key enzyme in diverting metabolism towards the biosynthesis of nicotine and others alkaloids [12, 13]. PubMed:19165623

a(UNIPROT:Q9SEH4) decreases a(CHEBI:Anatabine) View Subject | View Object

Down-regulation of PMT expression led to elevation of anatabine level in transgenic tobacco root lines and leaf tissues of regenerated tobacco plants PubMed:19165623

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.