Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2)

This dataset presents computational analyses of two SARS-CoV-2 BioSamples sequenced in December 2025, processed to assess the genomic presence of mutations associated with pemivibart (VYD2311) monoclonal antibody escape. The samples (SRR36268464, SRR36225071) were retrieved from the NCBI Sequence Read Archive (SRA) and represent publicly available, real-world viral specimens collected during the final month of 2025, the most recent temporal window available at the time of analysis.Processing was performed using the PEMI-ESC v2.0 bioinformatics pipeline (Python-based, open-source methodology), which includes read quality control (fastp), alignment to NC_045512.2 (BWA-MEM), variant calling (iVar, bcftools), Spike protein reconstruction, and codon-resolved interrogation of five canonical escape positions: R346, S371, K444, F456, and F486.The package includes, for each sample:Trimmed FASTQ readsAligned BAM filesVariant calls (VCF and tabular reports)Spike amino acid and nucleotide sequencesStructured mutation status reportsNo clinical, phenotypic, or resistance interpretations are provided. This is a purely observational genomic resource intended for independent validation, integration with public health databases, or inclusion in larger surveillance meta-analyses. Additional samples will be added in future versions of this dataset.Note:Analysis was performed using a custom Python-based bioinformatics pipeline developed for high-throughput surveillance of pemivibart (VYD2311) escape mutations in SARS-CoV-2. The pipeline integrates established open-source tools (fastp, BWA-MEM, samtools, iVar, bcftools) and implements codon-aware mutation calling at five canonical RBD positions (R346, S371, K444, F456, F486) relative to NC_045512.2. Full source code and version details are available upon request.PEMI-ESC v2.0 Pemivibart Escape Mutation Analyzer v2.0 is the 2nd version and well improved version of our bioinformatics pipeline version. PEMI-ESC v2.0 methods paper is pending and will be released.Study by: [e-mail]