SNAC-DB: Structural NANOBODY® (VHH) and Antibody (VH-VL) Complex Database
SNAC-DB: Structural NANOBODY® (VHH) and Antibody (VH-VL) Complex Database
Welcome to the SNAC-DB — a comprehensive and curated resource of antibody and NANOBODY® VHH structures designed to support computational modeling, machine learning, structural biology research, and available in ML-ready formats. This release includes dataset curated by using the SNAC-DB pipeline (https://github.com/Sanofi-Public/SNAC-DB) on protein structures sourced from the RCSB PDB (https://www.rcsb.org/), as well as a benchmarking dataset for evaluation. At the moment, we have processed all PDBs released up until 20 August, 2025. Paper: https://www.researchgate.net/publication/393900649_SNAC-DB_The_Hitchhiker's_Guide_to_Building_Better_Predictive_Models_of_Antibody_NANOBODY_R_VHH-Antigen_Complexes
- Sanofi (United Kingdom) United Kingdom
- Sanofi (Germany) Germany
- Johns Hopkins University United States
- Sanofi (France) France
Machine Learning, Artificial intelligence, Protein Structure Prediction, NANOBODY, Protein Structure, Quaternary, Antibody
Machine Learning, Artificial intelligence, Protein Structure Prediction, NANOBODY, Protein Structure, Quaternary, Antibody
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