SNAC-DB: An ML-Ready Database for Antibody and NANO-BODY® VHH–Antigen Complexes with Expanded Structural Diversity and Real-World Benchmarking

Abstract excerpt

Predicting antibody and NANOBODY ® VHH–antigen complexes remains a critical challenge for state-of-the-art structure prediction models, limiting their impact in therapeutic discovery pipelines. We introduce SNAC-DB, an ML-ready database and curation pipeline enriched with structural biology expertise, designed to accelerate model accuracy and generalization by providing 31–37% expanded structural diversity over e...

Topics

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• Biosimilars and Bioanalytical Methods
• Glycosylation and Glycoproteins Research
• Monoclonal and Polyclonal Antibodies Research
• RNA and protein synthesis mechanisms
• vaccines and immunoinformatics approaches

Identifiers and source

Literature Corpus work

8bd88947-1797-54e5-b9d0-e8d423a6efe2

DOI

10.64898/2026.04.22.720253