Analysis of ORF8 Gene Mutations in SARS-CoV-2 Isolates: A Bioinformatics and AI Approach

Key Points

• This analysis aims to explore mutations in the ORF8 gene of SARS-CoV-2 isolates to identify potential targets for antiviral interventions.
• Analyzed 99 complete ORF8 sequences from SARS-CoV-2 using custom Python scripts and bioinformatics tools.
• Identified five most frequent mutations in the sequences: 93C>T, 136A>T, 232G>A, 95A>T, and 140C>T.
• Utilized libraries such as Biopython, pandas, and matplotlib for data processing and visualization.
• Mutation 93C>T occurred in 90.9% of analyzed sequences.
• Mutations 136A>T and 232G>A were observed in 89.9% of sequences each.
• Mutations 95A>T and 140C>T were present in 87.9% of the sequences.