Artem Babaian

Discover an ultra-diverged RNA virus in the human brain

Research description:

Data-driven virus discovery is revolutionizing our understanding of virology across Earth’s biosphere. In 2020 there were 15,000 known RNA viruses, since then our lab has discovered more new species (currently 375,000+) than everyone else in the world combined, including so called “Dark RNA Viruses” (see Nature paper)

Our lab explores the evolution, ecology, and molecular interactions of these viruses through state-of-the-art computational analysis. Our focus is on how these viruses intersect human health and disease. Currently we’re searching for viruses which cause neurodegenerative disease (i.e. Alzheimer’s) and human cancers. By finding such causal agents, it creates the possibility of developing vaccines or new therapies against devastating diseases.
Your project will be to select/prioritize the thousands of “candidate unknown human viruses” we have identified, and characterize them by any means to identify which viruses are human pathogens.

Info links

Year: 2024

Researcher:
Artem Babaian, Department of Molecular Genetics, Temerty Faculty of Medicine, University of Toronto

Students: 
Ayaan Rashid, University of Toronto
Rakan Hadi Alsallum, King Abdullah University of Science & Technology

Through SUDS, undergraduate students engage in hands-on research focused on data sciences and AI methodology applications.