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Virus-encoded proteins are widely used as targets for target drugs. However, they cannot cope with the drug resistance caused by a mutated virus and ignore the importance of host proteins for virus replication. Some methods use interactions between viruses and their host proteins to predict potential virus\u2013target host proteins, which are less susceptible to mutated viruses. However, these methods only consider the network topology between the virus and the host proteins, ignoring the influences of protein complexes. Therefore, we introduce protein complexes that are less susceptible to drug resistance of mutated viruses, which helps recognize the unknown virus\u2013target host proteins and reduce the cost of disease treatment.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Since protein complexes contain virus\u2013target host proteins, it is reasonable to predict virus\u2013target human proteins from the perspective of the protein complexes. We propose a coverage clustering-core-subsidiary protein complex recognition method named CCA-SE that integrates the known virus\u2013target host proteins, the human protein\u2013protein interaction network, and the known human protein complexes. The proposed method aims to obtain the potential unknown virus\u2013target human host proteins. We list part of the targets after proving our results effectively in enrichment experiments.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our proposed CCA-SE method consists of two parts: one is CCA, which is to recognize protein complexes, and the other is SE, which is to select seed nodes as the core of protein complexes by using seed expansion. The experimental results validate that CCA-SE achieves efficient recognition of the virus\u2013target host proteins.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12859-022-04792-x","type":"journal-article","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T07:05:38Z","timestamp":1656399938000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A virus\u2013target host proteins recognition method based on integrated complexes data and seed extension"],"prefix":"10.1186","volume":"23","author":[{"given":"Shengrong","family":"Xia","sequence":"first","affiliation":[]},{"given":"Yingchun","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Chulei","family":"Xiang","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jin","family":"He","sequence":"additional","affiliation":[]},{"given":"Guolong","family":"Shi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3768-8203","authenticated-orcid":false,"given":"Lichuan","family":"Gu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,28]]},"reference":[{"issue":"6","key":"4792_CR1","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1038\/s41577-020-0311-8","volume":"20","author":"M Tay","year":"2020","unstructured":"Tay M, Poh C, R\u00e9nia L, MacAry P, Ng L. 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