Integrating ai and deep learning for efficient drug discovery and target identification

HIGHLIGHTS

• What: This study proposes and validates a Deep learn-based model deep-Avpiden to improve the classification and discovery efficiency antiviral peptides (AVPs). To accommodate computing resource constraints the authors propose an optimized version Deep-AvPIDen (DS) which utilizes Deep separation convolution technology to significantly reduce computing resource consumption. Machine learning methods have become the focus of research, but there are also systems biology methods, dynamic models, and random search method .The systems biology approach focuses on analyzing biological networks, and Yu et_al use network embedding to predict the feasibility of drug combination . In the experiments , the . . .
  

   

  

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