Generalizeddta: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery

HIGHLIGHTS

• who: Shaofu Lin from the Faculty of Information, Beijing University Beijing, China have published the research work: GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery, in the Journal: (JOURNAL)
• what: To address these problems the authors propose the which is a new DTA prediction model oriented to unknown drug discovery by pre-training and multi-task learning. Compared with existing DTA prediction models the experimental results show that the model has the higher generalization capability in the DTA prediction of unknown drugs. The advantages of . . .
  

   

  

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