Comprehensive Surveillance of Pemivibart (VYD2311) Escape Mutations in 9,398,268 SARS-CoV-2 Spike Protein Sequences 2020 up to 2025 Q3

This dataset presents a large-scale genomic surveillance analysis of selected spike mutations which may or may not disrupt pemivibart (VYD2311) monoclonal antibody binding. We analyzed 9,398,268 SARS-CoV-2 spike protein sequences. Pemivibart is a next-generation monoclonal antibody therapy for COVID-19, and understanding potential escape mutations is crucial for monitoring therapeutic efficacy.<b>Methods:</b>Analyzed 9,398,268 SARS-CoV-2 spike protein sequences from global databases.We employed position-based mutation detection against Wuhan-Hu-1 reference (YP_009724390.1) We systematically scanned for 11 known pemivibart escape mutations: R346T, K444T, F456L, F486P, S371F, N460K, S417T, S501T, S446A, S444T, S500TIdentified both individual mutations and mutation constellations (combinations)Data provided in compressed TSV format with comprehensive metadata<b>Results:</b>8,913,005 sequences (94.84%) contained at least one pemivibart escape mutationIdentified 116 distinct mutation constellationsMutation distribution: single mutations to 8-mutation combinationsMost prevalent mutations: <b>S500T, R346T, F486P, F456L</b>Constellation analysis reveals complex mutation patterns that may disrupt pemivibart binding epitopes.<b>Data Contents:</b>Individual mutation files for all 11 target mutations116 constellation files showing mutation combinationsFiles provided in both Zstandard (.zst) and Gzip (.gz) formatsComplete summary statistics and metadataSequence accessions, collection years, and geographic origins<b>Potential Impact:</b>The identified single and multiple mutation constellations may disrupt pemivibart epitopes and impact therapeutic efficacy. This comprehensive dataset enables researchers to monitor resistance emergence, inform treatment guidelines, and support public health surveillance.<b>Usage Notes:</b>Files are provided in tab-separated format with sequence headers, accession numbers, collection metadata, and mutation information. Compressed formats ensure efficient storage while maintaining data accessibility.<b>Study by</b>: [e-mail]