A study to evaluate the potential of an in silico approach for predicting dipeptidyl peptidase-IV inhibitory activity in vitro of protein hydrolysates

Food Chem. 2017 Nov 1:234:431-438. doi: 10.1016/j.foodchem.2017.05.035. Epub 2017 May 8.

Abstract

A total of 294 edible protein sequences and 5 commercial proteases listed in the BIOPEP database were analyzed in silico. The frequency (A), a parameter in silico described previously, was examined further to calculating the ratio of truncated peptides with Xaa-proline and/or Xaa-alanine to all peptide fragments in a protein hydrolyzed with a protease, using the BIOPEP database. Then the in vitro DPP-IV inhibitory activity was determined using the same 15 protein and protease combinations to evaluate their relationship. The result shows that A values considering the number of Xaa-proline+Xaa-alanine exhibited a strong correlation with in vitro DPP-IV inhibition rates by Pearson's correlation analysis (r=0.6993; P<0.05). Therefore, the in silico approach is effective to predict DPP-IV inhibitory activities in vitro of protein hydrolysates.

Keywords: Correlation analysis; Dietary protein; Dipeptidyl peptidase IV inhibitor; In silico analysis.

MeSH terms

  • Amino Acid Sequence
  • Computer Simulation
  • Dipeptidyl Peptidase 4 / metabolism
  • Dipeptidyl-Peptidase IV Inhibitors / pharmacology*
  • Protein Hydrolysates / metabolism*

Substances

  • Dipeptidyl-Peptidase IV Inhibitors
  • Protein Hydrolysates
  • Dipeptidyl Peptidase 4