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.
Methods:
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, S500T
Identified both individual mutations and mutation constellations (combinations)
Data provided in compressed TSV format with comprehensive metadata
Results:
8,913,005 sequences (94.84%) contained at least one pemivibart escape mutation
Identified 116 distinct mutation constellations
Mutation distribution: single mutations to 8-mutation combinations
Most prevalent mutations: S500T, R346T, F486P, F456L
Constellation analysis reveals complex mutation patterns that may disrupt pemivibart binding epitopes.
Data Contents:
Individual mutation files for all 11 target mutations
116 constellation files showing mutation combinations
Files provided in both Zstandard (.zst) and Gzip (.gz) formats
Complete summary statistics and metadata
Sequence accessions, collection years, and geographic origins
Potential Impact:
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.
Usage Notes:
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.
Study by: [e-mail]