{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T18:32:11Z","timestamp":1787337131967,"version":"build-2736575974"},"reference-count":31,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T00:00:00Z","timestamp":1787270400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62562047"],"award-info":[{"award-number":["62562047"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62362050"],"award-info":[{"award-number":["62362050"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32260248"],"award-info":[{"award-number":["32260248"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Jiangxi Province Natural Science Foundation","doi-asserted-by":"crossref","award":["20252BAC240669"],"award-info":[{"award-number":["20252BAC240669"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100013064","name":"Key Research and Development Program of Jiangxi Province","doi-asserted-by":"publisher","award":["20243BBG71035"],"award-info":[{"award-number":["20243BBG71035"]}],"id":[{"id":"10.13039\/501100013064","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of the Joint Fund for Natural Science Research of Jiangxi Province","award":["20253BAC280081"],"award-info":[{"award-number":["20253BAC280081"]}]},{"name":"Jiangxi Provincial Key Laboratory of Data Security Technology","award":["20242BCC32026"],"award-info":[{"award-number":["20242BCC32026"]}]},{"name":"Market Supervision Administration Science and Technology Project of Jiangxi Province","award":["GSJK202305"],"award-info":[{"award-number":["GSJK202305"]}]},{"name":"Nanchang University College Students' Innovation Training Program Project","award":["2024CX147"],"award-info":[{"award-number":["2024CX147"]}]},{"name":"Finance Science and Technology Special Contract System Project of Jiangxi Province","award":["ZBG20230418001"],"award-info":[{"award-number":["ZBG20230418001"]}]},{"name":"Finance Science and Technology Special Contract System Project of Jiangxi Province","award":["ZBG20230418014"],"award-info":[{"award-number":["ZBG20230418014"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>\n                    Phage therapy has become an important strategy against the crisis of antibiotic resistance for its potential to specifically target pathogenic bacteria. However, the narrow host range of phage makes the screening of precise matches of clinical strains inefficient, while existing computational tools are difficult to capture the dynamics of phage-host interactions due to their reliance on single modal features (genome or proteins). In this paper, we propose FusionPHI, a phage-host interaction prediction model that adopts a fully connected neural network architecture and takes multi-modal features as input, including the k-mer statistics of genome sequences, the physicochemical properties of proteins, and the embedded representations of evolutionarily conserved gene motifs for a comprehensive understanding of phage-host interactions. Moreover, FusionPHI contains a dual-stage attention-drive feature fusion module that integrates a self-attention mechanism to optimize the correlation among the features within a single modality followed by a cross-attention mechanism to dynamically fuse genetic distribution patterns with the protein function information in global or local regions of sequences. The experiments of phage-host interaction prediction show that FusionPHI achieves 91% ROC AUC in cross-validation, demonstrating competitive performance compared to the evaluated baseline methods on our dataset, and ablation experiments further validate the necessity of multi-modal features and attention mechanism. The case study of\n                    <jats:italic>E. coli<\/jats:italic>\n                    infected by the\n                    <jats:italic>M13K07<\/jats:italic>\n                    phage further validate the prediction ability of the proposed FusionPHI model.\n                  <\/jats:p>","DOI":"10.1371\/journal.pone.0356238","type":"journal-article","created":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T17:45:46Z","timestamp":1787334346000},"page":"e0356238","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["FusionPHI: A phage-host interaction prediction network model based on attention-driven multi-modal feature fusion"],"prefix":"10.1371","volume":"21","author":[{"given":"Xiangjun","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruitao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhui","family":"Tu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8051-8955","authenticated-orcid":true,"given":"Qingting","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,8,21]]},"reference":[{"key":"pone.0356238.ref001","doi-asserted-by":"crossref","first-page":"107275","DOI":"10.1016\/j.micpath.2024.107275","article-title":"Emerging threats: Antimicrobial resistance in extended-spectrum beta-lactamase and carbapenem-resistant Escherichia coli","volume":"200","author":"MS Aljohni","year":"2025","journal-title":"Microb Pathog"},{"issue":"12","key":"pone.0356238.ref002","doi-asserted-by":"crossref","first-page":"1638","DOI":"10.3390\/ph16121638","article-title":"Phage therapy\u2014challenges, opportunities and future prospects","volume":"16","author":"B Zalewska-Pi\u0105tek","year":"2023","journal-title":"Pharmaceuticals"},{"issue":"9","key":"pone.0356238.ref003","doi-asserted-by":"crossref","first-page":"870","DOI":"10.3390\/antibiotics13090870","article-title":"A Comprehensive Review on Phage Therapy and Phage-Based Drug Development","volume":"13","author":"L Cui","year":"2024","journal-title":"Antibiotics (Basel)"},{"issue":"3","key":"pone.0356238.ref004","doi-asserted-by":"crossref","first-page":"721","DOI":"10.3390\/v15030721","article-title":"The Future of Clinical Phage Therapy in the United Kingdom","volume":"15","author":"JD Jones","year":"2023","journal-title":"Viruses"},{"issue":"5","key":"pone.0356238.ref005","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.3002119","article-title":"Translating phage therapy into the clinic: Recent accomplishments but continuing challenges","volume":"21","author":"A Petrovic Fabijan","year":"2023","journal-title":"PLoS Biol"},{"issue":"1","key":"pone.0356238.ref006","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.cell.2022.11.017","article-title":"Phage therapy: From biological mechanisms to future directions","volume":"186","author":"SA Strathdee","year":"2023","journal-title":"Cell"},{"issue":"3","key":"pone.0356238.ref007","article-title":"Advances in phage-host interaction prediction: in silico method enhances the development of phage therapies","volume":"25","author":"W Nie","year":"2024","journal-title":"Brief Bioinform"},{"key":"pone.0356238.ref008","doi-asserted-by":"crossref","unstructured":"Badam S, Rao S. 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