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AoP-LSE: Antioxidant Proteins Classification Using Deep Latent Space Encoding of Sequence Features.
Usman, Muhammad; Khan, Shujaat; Park, Seongyong; Lee, Jeong-A.
Affiliation
  • Usman M; Department of Computer Engineering, Chosun University, Gwangju 61452, Korea.
  • Khan S; Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Korea.
  • Park S; Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Korea.
  • Lee JA; Department of Computer Engineering, Chosun University, Gwangju 61452, Korea.
Curr Issues Mol Biol ; 43(3): 1489-1501, 2021 Oct 09.
Article in En | MEDLINE | ID: mdl-34698113
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Proteins / Neural Networks, Computer / Computational Biology / Antioxidants Type of study: Prognostic_studies Limits: Humans Language: En Journal: Curr Issues Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Country of publication: Suiza
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Proteins / Neural Networks, Computer / Computational Biology / Antioxidants Type of study: Prognostic_studies Limits: Humans Language: En Journal: Curr Issues Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Country of publication: Suiza