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Predictive Modeling of Angiotensin I-Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches.
Wang, Yu-Tang; Russo, Daniel P; Liu, Chang; Zhou, Qian; Zhu, Hao; Zhang, Ying-Hua.
Affiliation
  • Wang YT; Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, PR China.
  • Russo DP; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Liu C; The Rutgers Center for Computational and Integrative Biology, Camden, New Jersey 08102, United States.
  • Zhou Q; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Zhu H; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Zhang YH; The Rutgers Center for Computational and Integrative Biology, Camden, New Jersey 08102, United States.
J Agric Food Chem ; 68(43): 12132-12140, 2020 Oct 28.
Article in En | MEDLINE | ID: mdl-32915574
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Angiotensin-Converting Enzyme Inhibitors / Peptidyl-Dipeptidase A / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Agric Food Chem Year: 2020 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Angiotensin-Converting Enzyme Inhibitors / Peptidyl-Dipeptidase A / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Agric Food Chem Year: 2020 Document type: Article