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Drugs, as important chemical compounds, can interact with microRNAs and change their functions. The experimental identification of microRNA\u2013drug interactions is time-consuming and expensive. Therefore, it is appealing to develop effective computational approaches for predicting microRNA\u2013drug interactions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this study, a matrix factorization-based method, called the microRNA\u2013drug interaction prediction approach (MDIPA), is proposed for predicting unknown interactions among microRNAs and drugs. Specifically, MDIPA utilizes experimentally validated interactions between drugs and microRNAs, drug similarity and microRNA similarity to predict undiscovered interactions. A path-based microRNA similarity matrix is constructed, while the structural information of drugs is used to establish a drug similarity matrix. To evaluate its performance, our MDIPA is compared with four state-of-the-art prediction methods with an independent dataset and cross-validation. The results of both evaluation methods confirm the superior performance of MDIPA over other methods. Finally, the results of molecular docking in a case study with breast cancer confirm the efficacy of our approach. In conclusion, MDIPA can be effective in predicting potential microRNA\u2013drug interactions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>All code and data are freely available from https:\/\/github.com\/AliJam82\/MDIPA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa577","type":"journal-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T19:12:10Z","timestamp":1591902730000},"page":"5061-5067","source":"Crossref","is-referenced-by-count":24,"title":["MDIPA: a microRNA\u2013drug interaction prediction approach based on non-negative matrix factorization"],"prefix":"10.1093","volume":"36","author":[{"given":"Ali Akbar","family":"Jamali","sequence":"first","affiliation":[{"name":"Division of Biomedical Engineering"}]},{"given":"Anthony","family":"Kusalik","sequence":"additional","affiliation":[{"name":"Division of Biomedical Engineering"},{"name":"Department of Computer Science"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4593-9332","authenticated-orcid":false,"given":"Fang-Xiang","family":"Wu","sequence":"additional","affiliation":[{"name":"Division of Biomedical Engineering"},{"name":"Department of Computer Science"},{"name":"Department of Mechanical Engineering, University of Saskatchewan , Saskatoon, SK, Canada"}]}],"member":"286","published-online":{"date-parts":[[2020,6,17]]},"reference":[{"key":"2023062408121810900_btaa577-B1","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/s12859-015-0472-9","volume":"16","author":"Bravo","year":"2015","journal-title":"BMC Bioinformatics"},{"key":"2023062408121810900_btaa577-B2","doi-asserted-by":"crossref","first-page":"103625","DOI":"10.1016\/j.compbiomed.2020.103625","volume":"118","author":"Chalise","year":"2020","journal-title":"Comput. 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