ProtTale learns to self-assess reliability of AI-generated protein function descriptions
anshulkundaje · x · 2026-10-23
A team from Emory University posted a bioRxiv paper on trusting generative protein-to-text models.
- Generative models output protein function descriptions in free-form English with no signal on what to believe, and free text is hard to evaluate
- The authors introduce an LLM judge of equivalence between predicted and 'true' descriptions, validated against blinded expert curation
- They then present ProtTale, a sequence-to-text model that learns from the judge's verdicts to estimate its own reliability via a score called pJay
- On unseen Swiss-Prot enzymes, ProtTale and three leading methods tie on accuracy but are right about different proteins, so ProtTale's unique correct predictions add complementary value
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