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.

Highlights

  • Established in 2004, the Immune Epitope Database (IEDB) contains >1.6 million experiments representing the adaptive immune response to epitopes, gathered primarily from the literature [1]

  • While we noted that few queries were performed using the radio button for ‘nonpeptidic epitopes’, we opted to maintain this direct selection to advertise that the IEDB contains non-peptidic epitope data, as this is a question we received in several user interactions

  • The integration of formal ontologies into the IEDB has been ongoing for many years [9,10] to provide users with the accepted nomenclature for each data type, for example the organism names determined by National Center for Biotechnology Information (NCBI) Taxonomy [7] or the proper MHC terminology for each species provided by MHC Restriction Ontology (MRO)

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Summary

Introduction

Established in 2004, the Immune Epitope Database (IEDB) contains >1.6 million experiments representing the adaptive immune response to epitopes, gathered primarily from the literature [1]. While we noted that few queries were performed using the radio button for ‘nonpeptidic epitopes’, we opted to maintain this direct selection to advertise that the IEDB contains non-peptidic epitope data, as this is a question we received in several user interactions.

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