AI trained on 20,000 pharma-secret protein structures beats public-data AlphaFold models
MoAlQuraishi · x · 2026-09-14
Nature reports that a pharma consortium used OpenFold3, an open-source replication of AlphaFold 3, to train a protein-folding model on over 20,000 proprietary protein structures. The system markedly outperformed models trained only on public data or on individual siloed datasets.
- Protein-folding models like AlphaFold have long been limited by scarce public data, especially on protein–drug interactions
- Pharma companies hold vast troves of secret structures that measurably boost model performance
- Proprietary data access is emerging as a new competitive moat in AI drug discovery
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