C10pred: a first machine learning based tool to predict c10 family cysteine peptidases using sequence-derived features

HIGHLIGHTS

• who: Adeel Malik and colleagues from the Institute of Intelligence Informatics Technology, Sangmyung University, Seoul, Korea Department of Pediatrics, Washington University in StLouis, StLouis, MO, USA have published the research work: C10Pred: A First Machine Learning Based Tool to Predict C10 Family Cysteine Peptidases Using Sequence-Derived Features, in the Journal: (JOURNAL) of 16/08/2022
• what: The authors propose novel predictor C10Pred for the prediction of peptidases using sequence-derived optimal features. To assess how the model behaves if a more diverse set of sequences is used as a negative dataset rather than just . . .
  

   

  

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