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A plethora of computational tools has been developed to predict MHC class I binders. Here, we comprehensively reviewed 27 up-to-date MHC I binding prediction tools developed over the last decade, thoroughly evaluating feature representation methods, prediction algorithms and model training strategies on a benchmark dataset from Immune Epitope Database. A common limitation was identified during the review that all existing tools can only handle a fixed peptide sequence length. To overcome this limitation, we developed a bilateral and variable long short-term memory (BVLSTM)-based approach, named BVLSTM-MHC. It is the first variable-length MHC class I binding predictor. In comparison to the 10 mainstream prediction tools on an independent validation dataset, BVLSTM-MHC achieved the best performance in six out of eight evaluated metrics. A web server based on the BVLSTM-MHC model was developed to enable accurate and efficient MHC class I binder prediction in human, mouse, macaque and chimpanzee.<\/jats:p>","DOI":"10.1093\/bib\/bbab216","type":"journal-article","created":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T19:11:57Z","timestamp":1621451517000},"source":"Crossref","is-referenced-by-count":18,"title":["Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution"],"prefix":"10.1093","volume":"22","author":[{"given":"Limin","family":"Jiang","sequence":"first","affiliation":[{"name":"Comprehensive cancer center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA"}]},{"given":"Hui","family":"Yu","sequence":"additional","affiliation":[{"name":"Comprehensive cancer center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA"}]},{"given":"Jiawei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"given":"Jijun","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of South Carolina, SC, USA"},{"name":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]},{"given":"Yan","family":"Guo","sequence":"additional","affiliation":[{"name":"Comprehensive cancer center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA"}]},{"given":"Fei","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, China"}]}],"member":"286","published-online":{"date-parts":[[2021,6,15]]},"reference":[{"key":"2021110815065111200_ref1","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1158\/2326-6066.CIR-16-0201","article-title":"Classical Hodgkin Lymphoma with Reduced beta M-2\/MHC Class I 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