SARS-CoV-2 Genomic Assembly Dataset (2022 - Q1 2025): Characterization of the F486P, K444T, N460K, R346T, S371F Mutation Constellation and Its Relevance to Monoclonal Antibody Binding (n=915)
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https://figshare.com/articles/dataset/_b_SARS-CoV-2_Genomic_Assembly_Dataset_2022_-_Q1_2025_Characterization_of_the_F486P_K444T_N460K_R346T_S371F_Mutation_Constellation_and_Its_Relevance_to_Monoclonal_Antibody_Binding_n_915_b_/30218161
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This dataset contains mutation constellations that are probably high risk in 5's category namely F486P, K444T, N460K, R346T, S371F.The global presence of these constellations in scattered or within single sequence warrants further study on the stability and potential venerability of class 1/2/3 mAbs.Thsi dataset includes: 1- Fasta files of 915 sequences that contain all the 5's mutation constellations in a given single sequences.The magnitude of the signal could be interpreted therefore as: 4575Total sequences with all 5 mutations: 915Total mutation sequence files: 4,575Mutation residue counts:F486P: 915K444T: 915N460K: 915R346T: 915S371F: 915Geographic distribution (inferred): • USA: 811 • Unknown: 55 • Switzerland: 25 • Denmark: 9 • England: 9 • IMS: 6*The strongest representation here as country with most signals is USA merely because of the rigor of testing since the start or peak and decline of the pandemic, the higher number of counts 811 does not in any way suggest peak signal from single population.Queries / Collaboration / critiques welcomed Email at: TahirHB@hotmail.com
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2025-09-26



