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IEDB-AR: immune epitope database-analysis resource in 2019
Open accessAbstract
The Immune Epitope Database Analysis Resource (IEDB-AR, http://tools.iedb.org/) is a companion website to the IEDB that provides computational tools focused on the prediction and analysis of B and T cell epitopes. All of the tools are freely available through the public website and many are also available through a REST API and/or a downloadable command-line tool. A virtual machine image of the entire site is also freely available for non-commercial use and contains most of the tools on the public site. Here, we describe the tools and functionalities that are available in the IEDB-AR, focusing on the 10 new tools that have been added since the last report in the 2012 NAR webserver edition. In addition, many of the tools that were already hosted on the site in 2012 have received updates to newest versions, including NetMHC, NetMHCpan, BepiPred and DiscoTope. Overall, this IEDB-AR update provides a substantial set of updated and novel features for epitope prediction and analysis.
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“Immune epitope database analysis resource (IEDB-AR) [31] is a comprehensive website that provides several computational tools focused on the prediction and analysis of B and T cell epitopes.”
From Computational and artificial intelligence-based methods for antibody development (2023) · cites this paper as [31]
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Development of a novel clustering tool for linear peptide sequences
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Metadata
- Authors
- Dhanda, S. K., Mahajan, S., Paul, S., Yan, Z., Kim, H., Jespersen, M. C., Jurtz, V., Andreatta, M., Greenbaum, J. A., Marcatili, P., Sette, A., Nielsen, M., & Peters, B.
- Affiliations
- La Jolla Institute for Immunology (US)
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA
- Technical University of Denmark (DK)
- National University of General San Martín (AR)
- Corresponding author
- Peters, Bjoern
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-05-22
- Volume
- 47
- Issue
- W1
- Pages
- W502-W506
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC6602498
- OpenAlex
- W2945153532
- Cited by
- 427
- References
- 35
- Citations by year
- 2026: 45 · 2025: 63 · 2024: 68 · 2023: 53 · 2022: 70 · 2021: 80 · 2020: 38 · 2019: 9
- FWCI
- 16.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institutes of Health (HHSN272201200010C, 75N93019C00001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Keywords
- IEDB, B-cell epitopes, T cell epitopes, epitope prediction, NetMHCpan, REST API, virtual machine image
- MeSH terms
- Animals, Histocompatibility Antigens, Humans, Software, Epitopes, T-Lymphocyte, Epitopes, B-Lymphocyte, Databases, Protein, Mice
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