Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with deepsolue

HIGHLIGHTS

• who: Chao Wang from the (UNIVERSITY) have published the research: Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE, in the Journal: (JOURNAL)
• what: The aim of this study is to address this problem. The authors demonstrate that the proposed predictor DeepSoluE outperforms the existing methods in protein solubility prediction. In this study, a deep learning predictor called DeepSoluE was developed to accurately predict protein solubility in E. coli.
• how: Comparison results showed that the proposed model achieved more accurate and balanced performance than existing tools. The . . .
  

   

  

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