Abstract

Emerging variants enable the continuous spread of SARS‐CoV‐2 in humans. The factors contributing to behavioral differences in variants remain elusive despite associations with several Spike protein mutations. Exploring accessory proteins may provide a wider understanding of these differences since these proteins may affect viral processes that occur beyond infection. Various bioinformatics tools were utilized to identify significant accessory protein mutations and determine their structural and functional effects over time. The ViruClust web application was used to retrieve accessory protein amino acid sequences and determine mutation frequencies in these sequences across time. The structural and functional effects of the mutations were determined using Missense3D and PROVEAN, respectively. The accessory and Spike protein mutations were compared using mutation densities. Q57H and T151I of ORF3a; T21I and W27L of ORF6; G38V, V82A, and T120I of ORF7a; S31P and T40I of ORF7b; and R52I, C61F, and I121L of ORF8 were highly frequent in most variants of concern and were within known functional domains. Thus, these are good candidates for further experimental evaluation. Among the accessory proteins, ORF6 and ORF8 were highlighted because of their strong and weak correlation with Spike protein mutations, respectively.

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