In silico characterization of mutations circulating in SARS-CoV-2 structural proteins.

Abstract excerpt

SARS-CoV-2 has recently emerged as a pandemic that has caused more than 2.4 million deaths worldwide. Since the onset of infections, several full-length sequences of viral genome have been made available which have been used to gain insights into viral dynamics. We utilised a meta-data driven comparative analysis tool for sequences (Meta-CATS) algorithm to identify mutations in 829 SARS-CoV-2 genomes from around...

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• Computational Biology
• COVID-19
• Mutant Proteins
• Mutation
• RNA-Dependent RNA Polymerase