{"doi":"10.1371/journal.pone.0000796","title":"NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence","abstract":null,"journal":"PLoS ONE","year":2007,"id":596021,"datarank":0.9930109809795535,"base_score":6.620073206530356,"endowment":6.620073206530356,"self_citation_contribution":0.9930109809795535,"citation_network_contribution":0.0,"self_endowment_contribution":0.9930109809795535,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":749,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1526444,"name":"Claus Lundegaard","orcid":null,"position":1,"is_corresponding":false},{"id":1526445,"name":"Thomas Blicher","orcid":null,"position":2,"is_corresponding":false},{"id":1526446,"name":"Kasper Lamberth","orcid":null,"position":3,"is_corresponding":false},{"id":501925,"name":"Mikkel Harndahl","orcid":null,"position":4,"is_corresponding":false},{"id":44977,"name":"Sune Justesen","orcid":"0000-0002-3039-2178","position":5,"is_corresponding":false},{"id":1526447,"name":"Gustav Røder","orcid":null,"position":6,"is_corresponding":false},{"id":34766,"name":"Bjoern Peters","orcid":"0000-0002-8457-6693","position":7,"is_corresponding":false},{"id":55670,"name":"Alessandro Sette","orcid":"0000-0001-7013-2250","position":8,"is_corresponding":false},{"id":56545,"name":"Ole Lund","orcid":"0000-0003-1108-0491","position":9,"is_corresponding":false},{"id":56543,"name":"Søren Buus","orcid":"0000-0001-8363-1999","position":10,"is_corresponding":false},{"id":766991,"name":"Morten Nielsen","orcid":"0000-0002-1250-4885","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence","abstract":"BACKGROUND: Binding of peptides to Major Histocompatibility Complex (MHC) molecules is the single most selective step in the recognition of pathogens by the cellular immune system. The human MHC class I system (HLA-I) is extremely polymorphic. The number of registered HLA-I molecules has now surpassed 1500. Characterizing the specificity of each separately would be a major undertaking. PRINCIPAL FINDINGS: Here, we have drawn on a large database of known peptide-HLA-I interactions to develop a bioinformatics method, which takes both peptide and HLA sequence information into account, and generates quantitative predictions of the affinity of any peptide-HLA-I interaction. Prospective experimental validation of peptides predicted to bind to previously untested HLA-I molecules, cross-validation, and retrospective prediction of known HIV immune epitopes and endogenous presented peptides, all successfully validate this method. We further demonstrate that the method can be applied to perform a clustering analysis of MHC specificities and suggest using this clustering to select particularly informative novel MHC molecules for future biochemical and functional analysis. CONCLUSIONS: Encompassing all HLA molecules, this high-throughput computational method lends itself to epitope searches that are not only genome- and pathogen-wide, but also HLA-wide. Thus, it offers a truly global analysis of immune responses supporting rational development of vaccines and immunotherapy. It also promises to provide new basic insights into HLA structure-function relationships. The method is available at http://www.cbs.dtu.dk/services/NetMHCpan.","is_dataset_classified":null,"base_score":6.620073206530356,"endowment":6.620073206530356,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"17726526","pmcid":"PMC1949492","openalex_id":"https://openalex.org/W2142739377","authors":[],"funders":[{"funder_name":"PHS HHS","grant_id":"HHSN26620040083C","title":null},{"funder_name":"PHS HHS","grant_id":"HHSN266200400025C","title":null}],"total_grants":2,"fwci":6.7895,"citation_percentile":0.97877201,"influential_citations":0,"citation_trend":[{"year":2012,"count":21},{"year":2013,"count":20},{"year":2014,"count":30},{"year":2015,"count":47},{"year":2016,"count":58},{"year":2017,"count":54},{"year":2018,"count":33},{"year":2019,"count":46},{"year":2020,"count":69},{"year":2021,"count":63},{"year":2022,"count":52},{"year":2023,"count":49},{"year":2024,"count":65},{"year":2025,"count":53},{"year":2026,"count":19}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0000796&type=printable","host_type":"journal"},{"url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0000796&type=printable","host_type":"publisher"},{"url":"http://dx.plos.org/10.1371/journal.pone.0000796","host_type":"publisher"},{"url":"https://doi.org/10.1371/journal.pone.0000796","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/17726526","host_type":"repository"},{"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.279.3048","host_type":""},{"url":"https://doaj.org/article/3aa00874b20f4b0da0ba011c9a189b15","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/1949492","host_type":"repository"},{"url":"https://figshare.com/articles/dataset/_NetMHCpan_a_Method_for_Quantitative_Predictions_of_Peptide_Binding_to_Any_HLA_A_and_B_Locus_Protein_of_Known_Sequence/151760","host_type":"repository"},{"url":"https://researchprofiles.ku.dk/da/publications/15e620e0-ebc9-11dd-bf70-000ea68e967b","host_type":"repository"},{"url":"http://www.scivee.tv/node/4651","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC1949492","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC1949492?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["vaccines and immunoinformatics approaches","T-cell and B-cell Immunology","Immunotherapy and Immune Responses"],"mesh_terms":["Binding Sites","Humans","Peptides","Software","HLA-A Antigens","HLA-B Antigens","Computational Biology"],"keywords":["Computational biology","Peptide sequence","Genetics","Protein sequencing","Human leukocyte antigen","Sequence (biology)","Locus (genetics)","Peptide","Biology","HLA-A","Gene","Biochemistry","Antigen"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-27T19:07:50.660718Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}