Doublesg-dta: deep learning for drug discovery: case study on the non-small cell lung cancer with egfrt790m mutation

HIGHLIGHTS

• who: Yongtao Qian and colleagues from the Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China have published the research work: DoubleSG-DTA: Deep Learning for Drug Discovery: Case Study on the Non-Small Cell Lung Cancer with EGFRT790M Mutation, in the Journal: Pharmaceutics 2023, 15, 675. of /2023/
• what: The authors propose a threechannel DoubleSG-DTA theoretical framework based on GINs and multiple attention mechanisms to address the aforementioned problems, which significantly outshines other regression-based SOTA methods on various benchmark datasets. This research assessed the DoubleSG-DTA with three . . .
  

   

  

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