The relative distance prediction of transmembrane protein surface residue based on improved residual networks

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• who: Qiufen Chen et al. from the School of Computer Science and Engineering, Changchun University of Technology, Changchun, China have published the research work: The Relative Distance Prediction of Transmembrane Protein Surface Residue Based on Improved Residual Networks, in the Journal: Mathematics 2023, 11, 642. of /2023/
• what: The authors proposed a deep-learning method called TMP-SurResD which capitalized the combination of the Block (RB) and Squeeze-and-Excitation (SE) for simultaneously predicting the relative distance of functional surface residues sequences` information; Results: The authors finally extracted four features to characterize the structure of . . .
  

   

  

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