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 paper: 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 the . . .
  

   

  

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