Trabajo de grado - Maestría
Genome-Scale Metabolic Reconstruction of Cannabis sativa and validation with non-targeted LC-MS based leaf metabolomics data
Fecha
2022-06-16Registro en:
instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
Autor
González Camargo, Fidias David
Institución
Resumen
Here we would present a Genome-Scale Metabolic network model of Cannabis sativa with the analysis of non-targeted LC-MS based metabolomics data, which could help to understand their complex
interactions toward applications in the anticancer, analgesic, and anti-inflammatory drug development, and other potential applications in food, cosmetic, textile and agrochemical industries. Starting
from annotation reference genome avail in NCBI databank, we will create a semi-automated
reconstruction of model using KEGG tools and ModelSEED respectively. Secondly, we will
implement curation steps using gap-filling algorithms such as GapFind and GapFill, and manual
curation supported by biochemical data reported in literature. Finally, we will obtain a first genome scale draft reconstruction of Cannabis sativa using constraint-based reconstruction and analysis.