{"access":"open","annotations":"Per-record assay type and outcome (binding affinity in nM, elution, T-cell response), MHC restriction, source organism and reference. The IEDB threshold convention for affinity: <50 nM high, <500 nM intermediate, <5000 nM low.","article":"/blog/modele-prezentacji-antygenu","cancer_slugs":["pan-cancer"],"details":"WHY THE SKEW MATTERS.\n- HLA-A*02:01 alone accounts for 24.38% of datasets in the IEDB automated benchmark; the seven most frequent alleles account for more than half.\n- 66.24% of class I molecules have six datasets or fewer.\n- A model trained on this distribution is weakest exactly for patients whose alleles were never studied.\nAFFINITY DATA ARE A DIFFERENT QUESTION.\n- An IC50 measured on purified HLA says nothing about whether the cell makes the source protein, whether the proteasome cuts there, or whether TAP transports the peptide.","doi":null,"formats":["CSV","JSON"],"hf":null,"huggingface":null,"kind":"registry","license":"free to use; NIAID-funded public resource","modalities":["protein-sequence","immunopeptidomics"],"models":[{"name":"NetMHCpan-4.1","note":"binding-affinity measurements and eluted-ligand deposits","role":"training","slug":"netmhcpan"},{"name":"NetMHCIIpan-4.0","note":"","role":"training","slug":"netmhciipan"},{"name":"MHCflurry 2.0","note":"","role":"training","slug":"mhcflurry"},{"name":"MHCnuggets","note":"","role":"training","slug":"mhcnuggets"}],"name":"IEDB \u2014 Immune Epitope Database","page":"/ai-oncology/datasets/iedb","provider":"La Jolla Institute for Immunology, funded by NIAID","size":{"items":1600000,"notes_en":"curated from published literature and direct submissions; includes MHC binding assays, MS-eluted ligands and T-cell assays","notes_pl":"kuratorowane z literatury i zg\u0142osze\u0144 bezpo\u015brednich; zawiera testy wi\u0105zania MHC, ligandy ze spektrometru i testy limfocyt\u00f3w T","unit":"epitope-related records"},"slug":"iedb","sources":[{"label":"IEDB","url":"https://www.iedb.org/"},{"label":"Trevizani R et al. A comprehensive analysis of the IEDB MHC class-I automated benchmark. Brief Bioinform 2022","url":"https://academic.oup.com/bib/article/23/4/bbac259/6632617"}],"summary":"The field's central repository of epitope data and the source of almost every training set for peptide\u2013MHC models \u2014 and of their allele skew.","tasks":["peptide-mhc-binding","antigen-presentation"],"url":"https://www.iedb.org/","verified_at":"2026-09-05T22:25:59.114121"}