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Oxidative Power: Tools for Assessing LPMO Activity on Cellulose.

Federica CalderaroLoes E BeversMarco A van den Berg
Published in: Biomolecules (2021)
Lytic polysaccharide monooxygenases (LPMOs) have sparked a lot of research regarding their fascinating mode-of-action. Particularly, their boosting effect on top of the well-known cellulolytic enzymes in lignocellulosic hydrolysis makes them industrially relevant targets. As more characteristics of LPMO and its key role have been elucidated, the need for fast and reliable methods to assess its activity have become clear. Several aspects such as its co-substrates, electron donors, inhibiting factors, and the inhomogeneity of lignocellulose had to be considered during experimental design and data interpretation, as they can impact and often hamper outcomes. This review provides an overview of the currently available methods to measure LPMO activity, including their potential and limitations, and it is illustrated with practical examples.
Keyphrases
  • signaling pathway
  • electronic health record
  • metabolic syndrome
  • machine learning
  • deep learning
  • climate change
  • risk assessment
  • human health