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J-GLOBAL ID：202102286506457727   Reference number：21A0280246

Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning

深層学習におけるコンジョイント分子指紋による予測性能の改善【JST・京大機械翻訳】

Author (6)： Xie Liangxu (Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China) ,  Xie Liangxu (Jiangsu Sino-Israel Industrial Technology Research Institute, Changzhou, China) ,  Xu Lei (Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China) ,  Kong Ren (Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China) ,  Chang Shan (Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China) ,  Xu Xiaojun (Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China)
Material： Frontiers in Pharmacology (Web)
Volume： 11  Page： 606668  Publication year： 2020 
JST Material Number： U7091A  ISSN： 1663-9812  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： The accurate predicting of phy...

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Thesaurus term： optimization ,  network ,  protein ,  biological activity ,  *fingerprint ,  logarithm ,  quantitative structure-activity relationship ,  machine learning ,  controlled index term
Semi thesaurus term： ブースティング ,  ランダムフォレスト ,  サポートベクトル回帰 ,  分子記述子 ,  *深層学習 ,  ディープニューラルネットワーク , 【Automatic Indexing@JST】

Author keywords (5)： artificial intelligence ,  deep learning ,  fingerprints ,  quantitative structure-activity relationship ,  molecular descriptors

JST classification (2)： Structure-activity relationship of drugs  (GV01050B) ,  Molecular and genetic information processing  (JE15040B)

Reference (75)：

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Terms in the title (4)： 深層学習 ,  分子 ,  指紋 ,  予測性能