Original research on computational immunogenicity risk assessment for peptide manufacturing impurities.
A systematic computational analysis of all 31 residue positions in semaglutide, evaluating how three classes of manufacturing impurities — amino acid substitutions, deletions, and insertions — alter immunogenicity risk. Each position is scored for its impact on immune recognition, identifying critical hotspots where manufacturing impurities carry elevated clinical concern.
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