Nucleic Acids Research· 2026Q1
SAbDab2: the structural antibody database in the age of machine learning
- 4citations
- Q1SCImago
- 2026year
Short summary
SAbDab2 is a newly re-engineered structural antibody database designed for the machine learning (ML) era, offering support for diverse antibody formats and providing standardized, versioned ML-grade structure data for antibody and antibody-antigen complexes.
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Key points
- SAbDab2 is a re-engineered structural antibody database tailored for machine learning applications.
- It supports a broader range of novel antibody formats beyond single-domain antibodies.
- The database provides standardized, versioned train/test splits of ML-grade antibody and antibody-antigen complex structures.
- SAbDab2 is updated weekly, with ML-grade data splits refreshed every six months.
AI-generated from the title and abstract; the full text is not read.
Abstract
The Structural Antibody Database (SAbDab) is a publicly available repository of experimentally determined antibody structures, first released in 2013. Explicit support for single-domain antibodies was added in 2021, with SAbDab-nano. Recently, increasing interest in antibodies has led to a proliferation of novel antibody formats, while simultaneous advances in machine learning (ML) have increased demand for standardized, high-quality structure data. Here, we present SAbDab2, re-engineered for the ML age. It introduces support for a variety of new formats, and makes it easy to retrieve and compare all known structures of a given antibody. In addition, SAbDab2 provides ready access to ML-grade structures of antibody and antibody-antigen-complexes, with standardized, versioned train/test splits. These will be updated every 6 months going forward and are available at https://zenodo.org/records/20083994. SAbDab2 itself is updated weekly and freely available at https://sabdab2.opig.stats.ox.ac.uk.
The authors' abstract, as published at the source. Nucleic Acids Research, 2026 · DOI ↗
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Field: Radiology, Nuclear Medicine and Imaging
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