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Description
As the SARS-CoV-2 virus has spread, multiple strains have appeared. Research has investigated potential drug candidates for COVID-19, but without consideration for the multiple variants of SARS-CoV-2. A domain-based and interolog-based method were implemented to predict protein-protein interactions (PPIs) between the SARS-CoV-2 variants and human proteins. A common set (conserved among all strains) and a unique set (distinct for each strain) of interactions were made. These sets of interactions were characterized via subcellular localization, tissue expression, pathway enrichment and gene ontology. Lastly, drug candidates were identified for the common set. The combined domain and interolog methods resulted in 8963 predicted common interactions. The common interactions were characterized and major pathways and drug candidates were identified. These candidates are important because they may prove effective for all SARS-CoV-2 variants and future ones as well.
Publication Date
12-9-2021
City
Logan, UT
Keywords
COVID-19 pandemic, drug candidates, SARS-CoV-2 variants
Disciplines
Engineering
Recommended Citation
Hauck, Kolton, "Pan Variant SARS-CoV-2 Common Interactions and Drug Candidates" (2021). Fall Student Research Symposium 2021. 10.
https://digitalcommons.usu.edu/fsrs2021/10