Art
J-GLOBAL ID:202102283563542922   Reference number:21A0898842

SE-OnionNet: A Convolution Neural Network for Protein-Ligand Binding Affinity Prediction

SE-OnionNet:蛋白質-リガンド結合親和性予測のための畳込みニューラルネットワーク【JST・京大機械翻訳】
Author (9):
Material:
Volume: 11  Page: 607824  Publication year: 2020 
JST Material Number: U7071A  ISSN: 1664-8021  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Deep learning methods, which c...
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Plant biochemistry  ,  Molecular structure  ,  Molecular and genetic information processing 
Reference (27):
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  • David HechtG. B. F. (2009). Computational intelligence methods for docking scores. Curr. Comp. Aided Drug Design. 5:63. doi: 10.2174/157340909787580863
  • DuchiJ.HazanE.SingerY. (2011). Adaptive subgradient methods for online learning and stochastic optimization. J. Machine Learn Res. 12, 2121-2159.
  • GaillardT. (2018). Evaluation of autodock and autodock vina on the casf-2013 benchmark. J. Chem. Inform. Model. 58, 1697-1706. doi: 10.1021/acs.jcim.8b0031229989806
  • HuJ.ShenL.AlbanieS.SunG.WuE. (2017). Squeeze-and-excitation networks. IEEE Trans Pattern Anal Machine Intelligence 99.
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