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Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating Peptides.
Xue, Yuyang; Ye, Xiucai; Wei, Lesong; Zhang, Xin; Sakurai, Tetsuya; Wei, Leyi.
Affiliation
  • Xue Y; Department of Computer Science, University of Tsukuba, Tsukuba, Japan.
  • Ye X; Department of Computer Science, University of Tsukuba, Tsukuba, Japan.
  • Wei L; Department of Computer Science, University of Tsukuba, Tsukuba, Japan.
  • Zhang X; School of Software, Shandong University, Jinan, China.
  • Sakurai T; Department of Computer Science, University of Tsukuba, Tsukuba, Japan.
  • Wei L; School of Software, Shandong University, Jinan, China.
Curr Med Chem ; 29(5): 881-893, 2022.
Article in En | MEDLINE | ID: mdl-34544332
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell-Penetrating Peptides Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Curr Med Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell-Penetrating Peptides Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Curr Med Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: Country of publication: