Peptomer substrates for quantitative pattern-recognition sensing of proteases.

Mariah J Austin Hattie C Schunk Natalie Ling Adrianne 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