The Immune Epitope Database (IEDB): 2024 update
Open accessAbstract
Over the past 20 years, the Immune Epitope Database (IEDB, iedb.org) has established itself as the foremost resource for immune epitope data. The IEDB catalogs published epitopes and their contextual experimental data in a freely searchable public resource. The IEDB team manually curates data from the literature into a structured format and spans infectious, allergic, autoimmune, and transplant diseases. Here, we describe the enhancements made since our 2018 paper, capturing user-directed updates to the search interface, advanced data exports, increases in data quality, and improved interoperability across related resources. As we look forward to the next 20 years, we are confident in our ability to meet the needs of our users and to contribute to the broader field of data standardization.
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98% of all detected peptides in the immunopeptidomics assay have been previously experimentally validated and are reported in the Immune Epitope Database.
“The specificity of the assay was corroborated by the finding that 98% of all detected peptides have been previously experimentally validated and are reported in the Immune Epitope Database [31] (Supplementary data).”
From Preclinical development of an mRNA-based multiepitope immunotherapeutic for glioblastoma (2025) · cites this paper as [31]
The Introduction (page not provided) says the IEDB curates published experimental data on immune epitopes, including peptides. It does not report results from the citing paper’s immunopeptidomics assay or establish that 98% of its detected peptides were previously validated and listed in the IEDB. (LLM, conf=0.85)
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Preclinical development of an mRNA-based multiepitope immunotherapeutic for glioblastoma
Lutz, J., Feist, R. K., Sonntag, T., Peguero-Sánchez, E., Wolter, K., Bick, R., Bauer, J., Walz, J. S., & Heidenreich, R. (2025) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-025-04178-x · Cited by 9 · see citing works
“The specificity of the assay was corroborated by the finding that 98% of all detected peptides have been previously experimentally validated and are reported in the Immune Epitope Database [31] (Supplementary data).”
- Authors
- Vita, R., Blazeska, N., Marrama, D., IEDB Curation Team Members, Shackelford, D., Zalman, L., Foos, G., Zarebski, L., Chan, K., Reardon, B., Fitzpatrick, S., Busse, M., Coleman, S., Sedwick, C., Edwards, L., MacFarlane, C., Ennis, M., Duesing, S., Bennett, J., Greenbaum, J., De Almeida Mendes, M., Mahita, J., Wheeler, D. K., Cantrell, J. R., Overton, J. A., Natale, D. A., Sette, A., & Peters, B.
- Affiliations
- La Jolla Institute for Immunology (US)
- Center for Vaccine Innovation, La Jolla Institute for Immunology , La Jolla , CA 92037 ,
- Leidos (United States) (US)
- Georgetown University Medical Center (US)
- Corresponding author
- Vita, Randi
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-11-18
- Volume
- 53
- Issue
- D1
- Pages
- D436-D443
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC11701597
- OpenAlex
- W4404511368
- Cited by
- 274
- References
- 31
- Citations by year
- 2026: 187 · 2025: 86 · 2024: 1
- FWCI
- 37.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (75N93019C00001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Keywords
- IEDB, immune epitopes, public databases, data interoperability, data standardization, infectious diseases, autoimmune disease, allergic diseases, data export
- MeSH terms
- Epitopes, Humans, Software, User-Computer Interface, Databases, Protein
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