NAStructuralDB : structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody–antigen interactions

Studying the interactions between antibodies and antigens is fundamental to the development of novel therapeutic biologics. Predictions of such interactions start with data collection. Though there exist reliable resources to identify antibody structures in the Protein Data Bank (PDB), such data still requires substantial processing to be usable in predictive tasks. Redundancy in sequences needs to be removed to avoid data leakages between train, test, and validation sets. Descriptors such as surface accessibility, secondary structure, and antibody region information need to be additionally annotated. Information on inter- and intra-molecular contacts, which is crucial to studying paratope/epitope information, needs to be collected. The specialized immunoglobulin format of Nanobodies® requires a separate dataset mirroring that of antibodies, given that their structure contains only a single VHH chain. Because antibody-antigen structures account for a small amount of all protein-protein contacts, having a molecular contact reference from other proteins is also desired. To address these issues, we introduce NAStructuralDB (https://naturalantibody.com/na-structural/), a dataset of processed structures of antibodies, Nanobodies®, proteins, and their complexes with molecular contact information and associated annotations. We use the opportunity of having collected the contact data to provide a reference of binding propensities of different residues across distinct contact types.

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Publication Details

Journal
mAbs
Published
2026-03-08
DOI
https://doi.org/10.1080/19420862.2026.2630438
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
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article

NAStructuralDB : structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody–antigen interactions

Konrad Krawczyk, Sonia Wróbel, Samuel Demharter, Hervé Minoux et al.
mAbs
Monoclonal and Polyclonal Antibodies Research
article

NAStructuralDB : structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody–antigen interactions

Konrad Krawczyk, Sonia Wróbel, Samuel Demharter, Hervé Minoux, Roberto Spreafico, Dawid Chomicz, Paweł Dudzic, Tomasz Gawlowski, Andrew Phillips
article en

Abstract

Studying the interactions between antibodies and antigens is fundamental to the development of novel therapeutic biologics. Predictions of such interactions start with data collection. Though there exist reliable resources to identify antibody structures in the Protein Data Bank (PDB), such data still requires substantial processing to be usable in predictive tasks. Redundancy in sequences needs to be removed to avoid data leakages between train, test, and validation sets. Descriptors such as surface accessibility, secondary structure, and antibody region information need to be additionally annotated. Information on inter- and intra-molecular contacts, which is crucial to studying paratope/epitope information, needs to be collected. The specialized immunoglobulin format of Nanobodies® requires a separate dataset mirroring that of antibodies, given that their structure contains only a single VHH chain. Because antibody-antigen structures account for a small amount of all protein-protein contacts, having a molecular contact reference from other proteins is also desired. To address these issues, we introduce NAStructuralDB (https://naturalantibody.com/na-structural/), a dataset of processed structures of antibodies, Nanobodies®, proteins, and their complexes with molecular contact information and associated annotations. We use the opportunity of having collected the contact data to provide a reference of binding propensities of different residues across distinct contact types.

mAbsVol. 18(1)
Wrocław University of Science and Technology (PL), Genmab (United States) (US), Recombinant Antibody Technology (United Kingdom) (GB), DecImmune Therapeutics (United States) (US)
Openalex Percentile: Top 29%
Monoclonal and Polyclonal Antibodies Research
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