{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T08:58:28Z","timestamp":1769590708082,"version":"3.49.0"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"22","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010663","name":"European Research Council","doi-asserted-by":"publisher","award":["ERC-AdG 789256"],"award-info":[{"award-number":["ERC-AdG 789256"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>The detection and prediction of true neoantigens is of great importance for the field of cancer immunotherapy. Wesearched the literature for proposed neoantigen features and integrated them into a toolbox called NEOantigen Feature toolbOX (NeoFox). NeoFox is an easy-to-use Python package that enables the annotation of neoantigen candidates with 16 neoantigen features.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>NeoFox is freely available as an open source Python package released under the GNU General Public License (GPL) v3 license at https:\/\/github.com\/TRON-Bioinformatics\/neofox.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab344","type":"journal-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T04:21:35Z","timestamp":1620274895000},"page":"4246-4247","source":"Crossref","is-referenced-by-count":18,"title":["NeoFox: annotating neoantigen candidates with neoantigen features"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0794-7446","authenticated-orcid":false,"given":"Franziska","family":"Lang","sequence":"first","affiliation":[{"name":"Biomarker Development Center, TRON\u2013Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz , 55131 Mainz, Germany"}]},{"given":"Pablo","family":"Riesgo-Ferreiro","sequence":"additional","affiliation":[{"name":"Biomarker Development Center, TRON\u2013Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz , 55131 Mainz, Germany"}]},{"given":"Martin","family":"L\u00f6wer","sequence":"additional","affiliation":[{"name":"Biomarker Development Center, TRON\u2013Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz , 55131 Mainz, Germany"}]},{"given":"Ugur","family":"Sahin","sequence":"additional","affiliation":[{"name":"Research Center for Immunotherapy (FZI), University Medical Center of the Johannes Gutenberg University Mainz , 55131 Mainz, Germany"},{"name":"CEO, BioNTech SE , Mainz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9758-250X","authenticated-orcid":false,"given":"Barbara","family":"Schr\u00f6rs","sequence":"additional","affiliation":[{"name":"Biomarker Development Center, TRON\u2013Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz , 55131 Mainz, Germany"}]}],"member":"286","published-online":{"date-parts":[[2021,5,10]]},"reference":[{"key":"2023051607085789700_btab344-B1","doi-asserted-by":"crossref","first-page":"e1005725","DOI":"10.1371\/journal.pcbi.1005725","article-title":"Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity","volume":"13","author":"Bassani-Sternberg","year":"2017","journal-title":"PLOS Comput. 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