{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T01:53:54Z","timestamp":1773107634806,"version":"3.50.1"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2022,2,20]],"date-time":"2022-02-20T00:00:00Z","timestamp":1645315200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["050\/ZJ21195006"],"award-info":[{"award-number":["050\/ZJ21195006"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008562","name":"Nanjing Agricultural University","doi-asserted-by":"publisher","award":["050\/804009"],"award-info":[{"award-number":["050\/804009"]}],"id":[{"id":"10.13039\/501100008562","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11901517"],"award-info":[{"award-number":["11901517"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Subcellular localization of microRNAs (miRNAs) is an important reflection of their biological functions. Considering the spatio-temporal specificity of miRNA subcellular localization, experimental detection techniques are expensive and time-consuming, which strongly motivates an efficient and economical computational method to predict miRNA subcellular localization. In this paper, we describe a computational framework, MiRLoc, to predict the subcellular localization of miRNAs. In contrast to existing methods, MiRLoc uses the functional similarity between miRNAs instead of sequence features and incorporates information about the subcellular localization of the corresponding target mRNAs. The results show that miRNA functional similarity data can be effectively used to predict miRNA subcellular localization, and that inclusion of subcellular localization information of target mRNAs greatly improves prediction performance.<\/jats:p>","DOI":"10.1093\/bib\/bbac044","type":"journal-article","created":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T20:12:52Z","timestamp":1643400772000},"source":"Crossref","is-referenced-by-count":18,"title":["MiRLoc: predicting miRNA subcellular localization by incorporating miRNA\u2013mRNA interactions and mRNA subcellular localization"],"prefix":"10.1093","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7381-4887","authenticated-orcid":false,"given":"Mingmin","family":"Xu","sequence":"first","affiliation":[{"name":"College of Agriculture, Nanjing Agricultural University, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7953-1845","authenticated-orcid":false,"given":"Yuanyuan","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, China"}]},{"given":"Zhihui","family":"Xu","sequence":"additional","affiliation":[{"name":"Simcere Diagnostics Co., Ltd., Nanjing, Jiangsu, China"}]},{"given":"Liangyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3905-7325","authenticated-orcid":false,"given":"Hangjin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Center for Data Science, Zhejiang University, Hangzhou, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7401-2926","authenticated-orcid":false,"given":"Cong","family":"Pian","sequence":"additional","affiliation":[{"name":"College of Sciences, Nanjing Agricultural 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