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Severe side effects of drugs that go undetected until the post-marketing stage leads to around two million patient morbidities every year in the United States. Therefore, there is an urgent need for a method to predict side effects of approved drugs and new drugs. Following this need, we present a new predictor for finding side effects of drugs. Firstly, multiple similarity matrices are constructed based on the association profile feature and drug chemical structure information. Secondly, these similarity matrices are integrated by Centered Kernel Alignment-based Multiple Kernel Learning algorithm. Then, Weighted K nearest known neighbors is utilized to complement the adjacency matrix. Next, we construct Restricted Boltzmann machines (RBM) in drug space and side effect space, respectively, and apply a penalized maximum likelihood approach to train model. At last, the average decision rule was adopted to integrate predictions from RBMs. Comparison results and case studies demonstrate, with four benchmark datasets, that our method can give a more accurate and reliable prediction result.<\/jats:p>","DOI":"10.1093\/bib\/bbac458","type":"journal-article","created":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T11:28:22Z","timestamp":1666178902000},"source":"Crossref","is-referenced-by-count":26,"title":["Identification of drug-side effect association via restricted Boltzmann machines with penalized term"],"prefix":"10.1093","volume":"23","author":[{"given":"Yuqing","family":"Qian","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering , Suzhou University of Science and Technology, Suzhou 215009, PR China"}]},{"given":"Yijie","family":"Ding","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (Quzhou) , University of Electronic Science and Technology of China, Quzhou 324000, PR China"}]},{"given":"Quan","family":"Zou","sequence":"additional","affiliation":[{"name":"Institute of Fundamental and Frontier Sciences , University of Electronic Science and Technology of China, Chengdu, 610054, PR China"}]},{"given":"Fei","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering , Central South University, Changsha 410083, PR China"}]}],"member":"286","published-online":{"date-parts":[[2022,10,19]]},"reference":[{"issue":"4","key":"2022112111202140100_ref1","doi-asserted-by":"crossref","first-page":"31758","DOI":"10.3402\/jchimp.v6.31758","article-title":"The alarming reality of medication error: a patient case and review of Pennsylvania and national data","volume":"6","author":"Da Silva","year":"2016","journal-title":"J Community Hosp Internal Med Persp"},{"key":"2022112111202140100_ref2","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106596","article-title":"Human protein subcellular localization 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