VDJdb in 2026: boosting T-cell receptor recognition evidence using paratope embeddings and AI-based structure prediction.

VDJdb's 2026 update enhances T-cell receptor recognition data with AI-driven paratope embeddings and structure predictions, improving reliability and coverage.

• Why it matters: Accurate TCR-epitope recognition data is vital for understanding immune responses, but large-scale assays face challenges like data quality issues and coverage biases that hinder reliable predictions.
• What they did: The team integrated AI techniques, including protein sequence embeddings and structure prediction, to annotate TCR specificity records with paratope features, filter noise, and generate 3D protein models across the expanded database.
• The result: These advancements enable more detailed analysis of TCR-epitope interactions, providing stronger evidence for high-throughput data reliability and supporting future immune research and therapeutic development.