The Immune Epitope Database (IEDB) has been updated to improve its functionality and user experience. Established in 2004, the IEDB curates over 1.6 million experiments related to immune epitopes, primarily from the scientific literature. The database now includes data on antibody, T cell, and MHC binding contexts associated with various diseases. To meet the growing demand for data, the IEDB has focused on enhancing its query and reporting capabilities. Key improvements include a redesigned search interface that allows users to execute 98% of past queries directly from the homepage, and the addition of new search features such as 'Finders' for hierarchical term selection and autocomplete. The database also provides detailed results pages and spreadsheet exports, with a focus on integrating external resources like UniProt and ChEBI to enhance data interoperability. The IEDB continues to incorporate ontologies to standardize data terms and improve data quality. Additionally, the IEDB is working towards aligning with the FAIR (Findable, Accessible, Interoperable, Reusuable) principles to ensure better data management and sharing. Future plans include further enhancements to the receptor search interface, improved ontology integration, and the development of more complex ontology modeling to facilitate federated queries across related resources.The Immune Epitope Database (IEDB) has been updated to improve its functionality and user experience. Established in 2004, the IEDB curates over 1.6 million experiments related to immune epitopes, primarily from the scientific literature. The database now includes data on antibody, T cell, and MHC binding contexts associated with various diseases. To meet the growing demand for data, the IEDB has focused on enhancing its query and reporting capabilities. Key improvements include a redesigned search interface that allows users to execute 98% of past queries directly from the homepage, and the addition of new search features such as 'Finders' for hierarchical term selection and autocomplete. The database also provides detailed results pages and spreadsheet exports, with a focus on integrating external resources like UniProt and ChEBI to enhance data interoperability. The IEDB continues to incorporate ontologies to standardize data terms and improve data quality. Additionally, the IEDB is working towards aligning with the FAIR (Findable, Accessible, Interoperable, Reusuable) principles to ensure better data management and sharing. Future plans include further enhancements to the receptor search interface, improved ontology integration, and the development of more complex ontology modeling to facilitate federated queries across related resources.