My project aims to identify a therapy to treat COVID-19 infections using gene expression and a computer-assisted approach. My computer program aims to identify endogenous human miRNA sequences that could bind and inhibit SARS-Cov-2 replication, through a phenomenon called RNA interference. To achieve this objective, my computer program feeds an existing tool, mirDB, the SARS-Cov-2 genome, and then independently filters results through analyzing conserved regions and by browsing existing scholarly literature. My project identified a shortlist of human miRNA sequences, notably mir-302c, which could be further experimented and tested as a therapy against COVID-19.

Infos

Participants

• Laurence Liang

Année : 2021

Région : Montreal Regional Science & Technology Fair (Sec/Coll)

Type de projet : C

Niveau scolaire : Collégial 1

École : Collège Marianopolis

Prix et distinctions

Finale Québécoise

Montreal Regional Science & Technology Fair (Sec/Coll)

• Prix de l’Université de Sherbrooke, faculté de la médecine et de la science santé
• Prix Oser la science
• Plaque honorifique

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