Calcamp: a new machine learning model for the accurate prediction of antimicrobial activity of peptides

HIGHLIGHTS

• who: Colin Bournez and collaborators from the Leiden University, POBox, RA Leiden, The Netherlands have published the research work: CalcAMP: A New Machine Learning Model for the Accurate Prediction of Antimicrobial Activity of Peptides, in the Journal: Antibiotics 2023, 725 of /2023/
• what: The experiments contained in the data set were focused on short AMPs ( and amp;lt;35 AAs) since they can present potent activity coupled with low toxicity . Figure 8 shows the differentpeptides ROC curves (except (u226430%), implying difficulty in discriminating and predicting as Non-AMP if for DBAASP model) and confirm that . . .
  

   

  

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