The Immune Epitope Database: Revised Receptor Data and Integration with the Adaptive Immune Receptor Repertoire Knowledge Commons 2306862

Abstract Introduction The Immune Epitope Database (IEDB, iedb.org) is a freely available resource that catalogs experimentally defined immune epitopes. Concurrently, the IEDB records ∼190,000 T cell receptors and ∼5,000 antibodies with experimentally verified epitope specificity. Because these receptors have been manually curated from 3,300 references spanning decades, reported data and nomenclature can be inconsistent, posing challenges for computational analyses. To support interoperability and integration with community resources such as the Adaptive Immune Receptor Repertoire Knowledge Commons (AKC), we are revising all immune receptor records to produce resolved, standardized, and analysis-ready receptor data. Methods We developed a computational pipeline that employs IgBLAST for V/D/J gene assignment, ANARCII for identification of Complementarity Determining Regions (CDRs), and tidytcells to standardize author-reported gene names. We furthermore extended tidytcells to validate and standardize CDR3 sequences based on reported V/J gene usage and to support antibody data. Crucially, the pipeline also flags anomalous data for targeted re-curation by expert curators. Results The reprocessed receptor dataset contains V/D/J gene names that are correctly formatted and mapped to existing reference genes, and CDR3 sequences are consistently represented up to their conserved anchor residues. Improved anomaly detection allowed us to identify and correct anomalous receptor records from hundreds of studies. Conclusion These revisions increase data quality and improve interoperability, as exemplified by integration with the AKC. This integration will enable researchers to seamlessly query large-scale repertoires for receptors with experimentally verified specificity in the IEDB, link orphan sequences to known targets, and support cross-repository studies of receptor-epitope pairs and their relationship to health and disease. Funding Source The IEDB is funded by NIAID contract 75N93019C00001. The AIRR Knowledge Commons is supported by a U24 (U24I177622) from the NIAID. Topic Categories Computational and Systems Immunology (COMP)

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Publication Details

Journal
The Journal of Immunology
Published
2026-07-28
DOI
https://doi.org/10.1093/jimmun/vkag141.1354
Primary Topic
vaccines and immunoinformatics approaches
Type
article
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article

The Immune Epitope Database: Revised Receptor Data and Integration with the Adaptive Immune Receptor Repertoire Knowledge Commons 2306862

Eve Richardson, Scott Christley, Lonneke Scheffer, Brian Corrie et al.
The Journal of Immunology
vaccines and immunoinformatics approaches
article

The Immune Epitope Database: Revised Receptor Data and Integration with the Adaptive Immune Receptor Repertoire Knowledge Commons 2306862

Eve Richardson, Scott Christley, Lonneke Scheffer, Brian Corrie, William Lees, Randi Vita, Laura Zarebski, Lindsay Cowell, Alessandro Sette, Bjoern Peters
article en

Abstract

Abstract Introduction The Immune Epitope Database (IEDB, iedb.org) is a freely available resource that catalogs experimentally defined immune epitopes. Concurrently, the IEDB records ∼190,000 T cell receptors and ∼5,000 antibodies with experimentally verified epitope specificity. Because these receptors have been manually curated from 3,300 references spanning decades, reported data and nomenclature can be inconsistent, posing challenges for computational analyses. To support interoperability and integration with community resources such as the Adaptive Immune Receptor Repertoire Knowledge Commons (AKC), we are revising all immune receptor records to produce resolved, standardized, and analysis-ready receptor data. Methods We developed a computational pipeline that employs IgBLAST for V/D/J gene assignment, ANARCII for identification of Complementarity Determining Regions (CDRs), and tidytcells to standardize author-reported gene names. We furthermore extended tidytcells to validate and standardize CDR3 sequences based on reported V/J gene usage and to support antibody data. Crucially, the pipeline also flags anomalous data for targeted re-curation by expert curators. Results The reprocessed receptor dataset contains V/D/J gene names that are correctly formatted and mapped to existing reference genes, and CDR3 sequences are consistently represented up to their conserved anchor residues. Improved anomaly detection allowed us to identify and correct anomalous receptor records from hundreds of studies. Conclusion These revisions increase data quality and improve interoperability, as exemplified by integration with the AKC. This integration will enable researchers to seamlessly query large-scale repertoires for receptors with experimentally verified specificity in the IEDB, link orphan sequences to known targets, and support cross-repository studies of receptor-epitope pairs and their relationship to health and disease. Funding Source The IEDB is funded by NIAID contract 75N93019C00001. The AIRR Knowledge Commons is supported by a U24 (U24I177622) from the NIAID. Topic Categories Computational and Systems Immunology (COMP)

The Journal of ImmunologyVol. 215(Supplement_1)
La Jolla Institute for Immunology (US), Simon Fraser University (CA), Southwestern Medical Center (US), BD Biosciences (United States) (US), The University of Texas Southwestern Medical Center (US)
Partnerships for the goals
Openalex Percentile: Top 15%
vaccines and immunoinformatics approaches
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