Tailoring FPOX enzymes for enhanced stability and expanded substrate recognition

Hajar Estiri, Shapla Bhattacharya,Jhon Alexander Rodriguez Buitrago,Rossella Castagna, Linda Legzdina, Giorgia Casucci, Andrea Ricci,Emilio Parisini,Alfonso Gautieri

SCIENTIFIC REPORTS(2023)

Cited 0|Views11
No score
Abstract
Fructosyl peptide oxidases (FPOX) are deglycating enzymes that find application as key enzymatic components in diabetes monitoring devices. Indeed, their use with blood samples can provide a measurement of the concentration of glycated hemoglobin and glycated albumin, two well-known diabetes markers. However, the FPOX currently employed in enzymatic assays cannot directly detect whole glycated proteins, making it necessary to perform a preliminary proteolytic treatment of the target protein to generate small glycated peptides that can act as viable substrates for the enzyme. This is a costly and time consuming step. In this work, we used an in silico protein engineering approach to enhance the overall thermal stability of the enzyme and to improve its catalytic activity toward large substrates. The final design shows a marked improvement in thermal stability relative to the wild type enzyme, a distinct widening of its access tunnel and significant enzymatic activity towards a range of glycated substrates.
More
Translated text
Key words
substrate recognition
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined