SeedFold Achieves State-of-the-Art Open-Source Protein Binder Design With 70-80% Wet Lab Hit Rates
An open-source protein design model matches proprietary competitors in silico and delivers 70-80% success rates in actual lab validation — a milestone for accessible biotech AI.
@SeedFold announced state-of-the-art results among open-source models for protein binder design, reporting the highest in-silico success rates in its class and, critically, 70-80% hit rates in wet lab validation. The wet lab number is what matters — computational predictions are cheap, but physical validation is where most protein design approaches fail.
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