{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T05:22:52Z","timestamp":1789017772054,"version":"build-2803163510"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T00:00:00Z","timestamp":1735257600000},"content-version":"vor","delay-in-days":35,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372205"],"award-info":[{"award-number":["62372205"]}],"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":["62472192"],"award-info":[{"award-number":["62472192"]}],"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":["61932008"],"award-info":[{"award-number":["61932008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Language Commission Key Research Project","award":["ZDI145-56"],"award-info":[{"award-number":["ZDI145-56"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["KJ02502022-0450"],"award-info":[{"award-number":["KJ02502022-0450"]}]},{"name":"Natural Science Foundation of Hubei Province of China","award":["2022CFB289"],"award-info":[{"award-number":["2022CFB289"]}]},{"name":"Colleges\u2019 Basic Research and Operation of MOE","award":["CCNU24JC032"],"award-info":[{"award-number":["CCNU24JC032"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Identifying phage\u2013host interactions (PHIs) is a crucial step in developing phage therapy, which is the promising solution to addressing the issue of antibiotic resistance in superbugs. However, the lifestyle of phages, which strongly depends on their host for life activities, limits their cultivability, making the study of predicting PHIs time-consuming and labor-intensive for traditional wet lab experiments. Although many deep learning (DL) approaches have been applied to PHIs prediction, most DL methods are predominantly based on sequence information, failing to comprehensively model the intricate relationships within PHIs. Moreover, most existing approaches are limited for sub-optimal performance, due to the potential risk of overfitting induced by the highly data sparsity in the task of PHIs prediction. In this study, we propose a novel approach called MI-RGC, which introduces mutual information for feature augmentation and employs regional graph convolution to learn meaningful representations. Specifically, MI-RGC treats the presence status of phages in environmental samples as random variables, and derives the mutual information between these random variables as the dependency relationships among phages. Consequently, a mutual information-based heterogeneous network is construted as feature augmentation for sequence information of phages, which is utilized for building a sequence information-based heterogeneous network. By considering the different contributions of neighboring nodes at varying distances, a regional graph convolutional model is designed, in which the neighboring nodes are segmented into different regions and a regional-level attention mechanism is employed to derive node embeddings. Finally, the embeddings learned from these two networks are aggregated through an attention mechanism, on which the prediction of PHIs is condcuted accordingly. Experimental results on three benchmark datasets demonstrate that MI-RGC derives superior performance over other methods on the task of PHIs prediction.<\/jats:p>","DOI":"10.1093\/bib\/bbae672","type":"journal-article","created":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T07:28:28Z","timestamp":1735284508000},"source":"Crossref","is-referenced-by-count":7,"title":["Predicting phage\u2013host interactions via feature augmentation and regional graph convolution"],"prefix":"10.1093","volume":"26","author":[{"given":"Ankang","family":"Wei","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"School of Computer Science, Central China Normal University , Wuhan 430079 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"School of Computer Science, Central China Normal University , Wuhan 430079 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingling","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"School of Computer Science, Central China Normal University , Wuhan 430079 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weizhong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"School of Computer Science, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"National Language Resources Monitoring & Research Center for Network Media , , Wuhan 430079 ,","place":["China"]},{"name":"Central China Normal University , , Wuhan 430079 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingpeng","family":"Jiang","sequence":"additional","affiliation":[{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University , Wuhan 430079 ,","place":["China"]},{"name":"School of Computer Science, Central China Normal University , Wuhan 430079 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