Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module

HIGHLIGHTS

• who: July et al. from the Harvard Medical School, United States Inner Mongolia University, China have published the Article: Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module, in the Journal: (JOURNAL)
• what: Leveraging the study of deep learning and PSSP, this study introduces the conditional GAN-based PSSP (CGAN-PSSP) model, in which the protein sequence and the corresponding PSSP are used as the inputs, while the secondary_structure is used as the output. The authors propose a novel PSSP based on the CGAN, called CGAN-PSSP, which is . . .
  

   

  

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