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Peptomer substrates for quantitative pattern-recognition sensing of proteases.

Mariah J AustinHattie C SchunkNatalie LingAdrianne M Rosales
Published in: Chemical communications (Cambridge, England) (2023)
The utility of active proteases as biomarkers is often limited by overlapping substrate specificity. Here, this feature is leveraged to develop a quantitative pattern-recognition sensing system driven by the degradation patterns of peptide-peptoid hybrid substrates to classify proteases and estimate their concentration by multivariate data analysis.
Keyphrases
  • data analysis
  • high resolution
  • machine learning
  • deep learning
  • mass spectrometry
  • neural network