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Deep learning improves prediction of drug-drug and drug-food interactions.
Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup.
Affiliation
  • Ryu JY; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), 34141 Daejeon, Republic of Korea.
  • Kim HU; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), 34141 Daejeon, Republic of Korea.
  • Lee SY; BioInformatics Research Center, KAIST, 34141 Daejeon, Republic of Korea.
Proc Natl Acad Sci U S A ; 115(18): E4304-E4311, 2018 05 01.
Article in En | MEDLINE | ID: mdl-29666228
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Databases, Factual / Neural Networks, Computer / Food-Drug Interactions / Data Mining Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2018 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Databases, Factual / Neural Networks, Computer / Food-Drug Interactions / Data Mining Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2018 Document type: Article