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Recently, deep learning (DL) models for show promising performance for DTI prediction. However, these models can be difficult to use for both computer scientists entering the biomedical field and bioinformaticians with limited DL experience. We present DeepPurpose, a comprehensive and easy-to-use DL library for DTI prediction. DeepPurpose supports training of customized DTI prediction models by implementing 15 compound and protein encoders and over 50 neural architectures, along with providing many other useful features. We demonstrate state-of-the-art performance of DeepPurpose on several benchmark datasets.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>https:\/\/github.com\/kexinhuang12345\/DeepPurpose.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa1005","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T04:52:48Z","timestamp":1605847968000},"page":"5545-5547","source":"Crossref","is-referenced-by-count":372,"title":["DeepPurpose: a deep learning library for drug\u2013target interaction prediction"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6693-8390","authenticated-orcid":false,"given":"Kexin","family":"Huang","sequence":"first","affiliation":[{"name":"Harvard University , Boston, MA 02115, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianfan","family":"Fu","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology , Atlanta, GA 30332, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucas M","family":"Glass","sequence":"additional","affiliation":[{"name":"IQVIA , Cambridge, MA 02139, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marinka","family":"Zitnik","sequence":"additional","affiliation":[{"name":"Harvard University , Boston, MA 02115, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cao","family":"Xiao","sequence":"additional","affiliation":[{"name":"IQVIA , Cambridge, MA 02139, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimeng","family":"Sun","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign , Urbana, IL 61801, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,12,12]]},"reference":[{"key":"2023062707100304900_btaa1005-B1","author":"Abid","year":"2019"},{"key":"2023062707100304900_btaa1005-B2","first-page":"103","author":"Cho","year":"2014"},{"key":"2023062707100304900_btaa1005-B3","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1038\/nm.4306","article-title":"The drug repurposing hub: a next-generation drug library and information resource","volume":"23","author":"Corsello","year":"2017","journal-title":"Nat. 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