Journal article
Ginkgo Datapoints Antibody Developability Competition outcomes: limited model performance and a call for data standardization
- Abstract:
- The Ginkgo Datapoints Antibody Developability (AbDev) Competition, a blinded benchmark for developability prediction characterized entirely on a single, industrial-scale experimental platform, was conducted from September 8 to November 18, 2025. We benchmarked predictors across five biophysical properties - hydrophobicity, thermostability, self-association, expression titer, and polyreactivity - using a public training set of 246 clinical antibodies and a blinded, held-out test set of 80 antibodies. We received submissions from 113 teams spanning 25 countries, 38 companies, and 39 universities. Winning submissions differed by assay. Top Spearman's ρ values on the test set reached 0.708 (hydrophobicity), 0.392 (thermostability), 0.356 (polyreactivity), 0.337 (self-association), and 0.310 (titer). Cross-validation scores from the public training set consistently exceeded held-out test performance, indicating overfitting and limited out-of-distribution generalization. Together, these results provide a standardized snapshot of current antibody developability modeling capabilities and highlight a key bottleneck: available datasets are too small and heterogeneous to support robust, assay-spanning prediction. Meaningful progress will require larger, standardized, and diverse experimental datasets - with harmonized protocols and rich metadata - to train and validate models that generalize reliably for future antibody discovery campaigns.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.8MB, Terms of use)
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- Publisher copy:
- 10.1080/19420862.2026.2634216
Authors
- Publisher:
- Taylor and Francis Group
- Journal:
- mAbs More from this journal
- Volume:
- 18
- Issue:
- 1
- Pages:
- 2634216
- Article number:
- 2634216
- Publication date:
- 2026-02-22
- Acceptance date:
- 2026-02-13
- DOI:
- EISSN:
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1942-0870
- ISSN:
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1942-0862
- Pmid:
-
41724677
- Language:
-
English
- Keywords:
- Pubs id:
-
2381376
- Local pid:
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pubs:2381376
- Source identifiers:
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3815387
- Deposit date:
-
2026-03-03
- ARK identifier:
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- Copyright date:
- 2026
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