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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

Pan Variant SARS-CoV-2 Common Interactions and Drug Candidates

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Engineering Commons

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