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DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
Li, Fuyi; Chen, Jinxiang; Leier, André; Marquez-Lago, Tatiana; Liu, Quanzhong; Wang, Yanze; Revote, Jerico; Smith, A Ian; Akutsu, Tatsuya; Webb, Geoffrey I; Kurgan, Lukasz; Song, Jiangning.
Afiliação
  • Li F; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
  • Chen J; Monash Centre for Data Science, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia.
  • Leier A; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
  • Marquez-Lago T; College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Liu Q; Department of Genetics, USA.
  • Wang Y; Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Revote J; Department of Genetics, USA.
  • Smith AI; Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Akutsu T; College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Webb GI; College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Kurgan L; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
  • Song J; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
Bioinformatics ; 36(4): 1057-1065, 2020 02 15.
Article em En | MEDLINE | ID: mdl-31566664
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2020 Tipo de documento: Article