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. 2019 Jan 8;47(D1):D339-D343.
doi: 10.1093/nar/gky1006.

The Immune Epitope Database (IEDB): 2018 update

Randi Vita  1 , Swapnil Mahajan  1 , James A Overton  2 , Sandeep Kumar Dhanda  1 , Sheridan Martini  1 , Jason R Cantrell  3 , Daniel K Wheeler  3 , Alessandro Sette  1   4 , Bjoern Peters  1   4
Affiliations

The Immune Epitope Database (IEDB): 2018 update

Randi Vita et al. Nucleic Acids Res. .

Abstract

The Immune Epitope Database (IEDB, iedb.org) captures experimental data confined in figures, text and tables of the scientific literature, making it freely available and easily searchable to the public. The scope of the IEDB extends across immune epitope data related to all species studied and includes antibody, T cell, and MHC binding contexts associated with infectious, allergic, autoimmune, and transplant related diseases. Having been publicly accessible for >10 years, the recent focus of the IEDB has been improved query and reporting functionality to meet the needs of our users to access and summarize data that continues to grow in quantity and complexity. Here we present an update on our current efforts and future goals.

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Figures

Figure 1.
Figure 1.
Number of epitopes curated by year. A rapid increase in the number of epitopes curated for each year of publication is due to authors increasingly publishing very large datasets.
Figure 2.
Figure 2.
Redesigned home page search interface. New search features (highlighted by red boxes) were designed based on user feedback and analysis of search behaviors.
Figure 3.
Figure 3.
Redesigned Epitope Details page. The newly designed Epitope Details page includes information on all experimental contexts a structure was tested in and links out to all 3D structures demonstrating the binding of antibodies, TCRs or MHC molecules to the epitope.
See this image and copyright information in PMC

References

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    1. Vita R., Peters B., Sette A.. The curation guidelines of the immune epitope database and analysis resource. Cytometry A. 2008; 73:1066–1070. - PMC - PubMed
    1. Vita R., Overton J.A., Seymour E., Sidney J., Kaufman J., Tallmadge R.L., Ellis S., Hammond J., Butcher G.W., Sette A., Peters B.. An ontology for major histocompatibility restriction. J. Biomed. Semantics. 2016; 7:1. - PMC - PubMed
    1. UniProt Consortium T. UniProt: the universal protein knowledgebase. Nucleic Acids Res. 2018; 46:2699. - PMC - PubMed
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Publication types