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

Appears in Networks 1

In-Edges 0

Out-Edges 4

p(HGNC:QPRT) increases a(CHEBI:Anatabine) View Subject | View Object

To shed further light on pathway regulation, the question was asked about whether alteration of nicotine and anatabine content would affect the expression of other key enzyme, namely QPRT, which is a key enzyme in the biosynthesis of another precursor of nicotine, and also the key enzyme of anatabine (Fig. 1). PubMed:19165623

p(HGNC:QPRT) increases a(CHEBI:nicotine) View Subject | View Object

To shed further light on pathway regulation, the question was asked about whether alteration of nicotine and anatabine content would affect the expression of other key enzyme, namely QPRT, which is a key enzyme in the biosynthesis of another precursor of nicotine, and also the key enzyme of anatabine (Fig. 1). PubMed:19165623

p(HGNC:QPRT) increases rxn(reactants(a(CHEBI:"quinolinic acid")), products(a(CHEBI:"nicotinic acid"))) View Subject | View Object

Nicotinic acid is synthesized from quinolinic acid through pyridine nucleotide cycle, and is controlled by quinolinate phosphoribosyltransferase (QPRT) PubMed:19165623

p(HGNC:QPRT) regulates rxn(reactants(a(CHEBI:"nicotinic acid")), products(a(CHEBI:Anatabine))) View Subject | View Object

Anatabine is synthesized from nicotinic acid, and QPRT is alike an enzyme of key importance in regulating anatabine biosynthesis in tobacco (Fig. 1) 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.