文献
J-GLOBAL ID:202002219603655920
整理番号:20A2129381
GRUベース深層ニューラルネットワークと移動学習を用いたADAM10阻害剤の分子生成モデル【JST・京大機械翻訳】
A molecular generative model of ADAM10 inhibitors by using GRU-based deep neural network and transfer learning
著者 (9件):
Shi Tingting
(Key Laboratory of Biorheological Science and Technology (Ministry of Education), Chongqing University, Chongqing, 400044, China)
,
Shi Tingting
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
,
Huang Shuheng
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
,
Chen Linxin
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
,
Heng Yu
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
,
Kuang Zuyin
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
,
Xu Lei
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
,
Mei Hu
(Key Laboratory of Biorheological Science and Technology (Ministry of Education), Chongqing University, Chongqing, 400044, China)
,
Mei Hu
(College of Bioengineering, Chongqing University, Chongqing, 400044, China)
資料名:
Chemometrics and Intelligent Laboratory Systems
(Chemometrics and Intelligent Laboratory Systems)
巻:
205
ページ:
Null
発行年:
2020年
JST資料番号:
E0150B
ISSN:
0169-7439
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)