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De novo drug design based on patient gene expression profiles via deep learning.
Yamanaka, Chikashige; Uki, Shunya; Kaitoh, Kazuma; Iwata, Michio; Yamanishi, Yoshihiro.
Affiliation
  • Yamanaka C; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
  • Uki S; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
  • Kaitoh K; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
  • Iwata M; Graduate School of Informatics, Nagoya University, Chikusa, Nagoya, 464-8602, Japan.
  • Yamanishi Y; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.
Mol Inform ; 42(8-9): e2300064, 2023 08.
Article in En | MEDLINE | ID: mdl-37475603
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Deep Learning Limits: Humans Language: En Journal: Mol Inform Year: 2023 Document type: Article Affiliation country: Japan
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Deep Learning Limits: Humans Language: En Journal: Mol Inform Year: 2023 Document type: Article Affiliation country: Japan