bioRxivJClub
The Quagmire of Immunogenicity-Guided Antibody Design: Labels Limit Progress
bioRxiv · · Preprint · Open access
Villegas-Morcillo, Raman + 2 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
An antibody format lookup beats all sequence-based learned immunogenicity predictors on a 231-therapeutic dataset, but the apparent accuracy is driven by evaluation split format composition.
- Why it matters: Immunogenicity conditioning is clinically important yet poorly specified because ADA% labels are aggregated from published trials into a single per-molecule value.
- What they did: The team extended and corrected a 217-entry dataset to 231 therapeutics with paired sequences, manually reconstructed clinical evidence for 110 from primary sources, and compared predictors against a format-based baseline.
- The result: Recomputed ADA% from trial-level measurements showed the format-based advantage disappears, while sequence predictors degrade less under cohort-weighted mean, implying label limitations and motivating trial-level, distributional evaluation.
The findingWhy it mattersWhat they didThe result
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