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We aimed to build an attentional deep learning model named HAIRANGE, for predicting potentially human-adapted reassortment of H5N1 and human IAVs. A biologically relevant and non-pretrained embedder named Codon2Vec in HAIRANGE performed competitively in benchmarking against other embedders, such as ESM2, DNABERT2 and others, indicating a high association of genomic context with viral hosts or serotypes, for IAV RNA polymerase-related genes. HAIRANGE accurately predicted the adaptation of each polymerase-related gene and the adaptive polymerase-related gene reassortment with polymerase activity validated by in vitro reporting assay. Worryingly, an adaptive reassortment between avian H5N1 and human H3N2 IAVs was predicted by HAIRANGE and validated by polymerase activity assay. Summarily, HAIRANGE can predict adaptive IAV reassortment based on embedded genomic context. Current avian H5N1 IAV is posing pandemic potential via possible reassortment with human IAVs.<\/jats:p>","DOI":"10.1093\/nsr\/nwaf396","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T12:08:05Z","timestamp":1758110885000},"source":"Crossref","is-referenced-by-count":3,"title":["Deep learning predicts potential reassortments of avian H5N1 with human influenza viruses"],"prefix":"10.1093","volume":"12","author":[{"given":"Jun-Qing","family":"Wei","sequence":"first","affiliation":[{"name":"State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science , Beijing 100071 ,","place":["China"]},{"name":"BAICSM, State Key Laboratory of Green Biomanufacturing , College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of 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