文献
J-GLOBAL ID:202202213301256309
整理番号:22A0226583
グラフニューラルネットワークに基づく薬物-標的相互作用を用いた標的蛋白質(SARS-CoV-2)のための新規分子の生成【JST・京大機械翻訳】
Generating novel molecule for target protein (SARS-CoV-2) using drug-target interaction based on graph neural network
著者 (4件):
Ranjan Amit
(Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India)
,
Shukla Shivansh
(Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India)
,
Datta Deepanjan
(Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India)
,
Misra Rajiv
(Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India)
資料名:
Network Modeling Analysis in Health Informatics and Bioinformatics
(Network Modeling Analysis in Health Informatics and Bioinformatics)
巻:
11
号:
1
ページ:
6
発行年:
2022年
JST資料番号:
W4796A
ISSN:
2192-6670
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)