Nongonierma_2014_Food.Chem_165_489

Reference

Title : An in silico model to predict the potential of dietary proteins as sources of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides - Nongonierma_2014_Food.Chem_165_489
Author(s) : Nongonierma AB , Fitzgerald RJ
Ref : Food Chem , 165 :489 , 2014
Abstract :

An in silico approach was developed to predict the potential of 72 dietary proteins to act as a source of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides. The model takes 68 DPP-IV inhibitory peptides (having an IC50 value <2000muM) and the specific contribution of their amino acids into account. Bovine alpha-lactalbumin (alpha-La) and kappa-casein (CN) displayed the highest protein coverage (PC, 43.9%) and potency index (PI, 17.9 10(-6)muM(-1)g(-1)), respectively for DPP-IV inhibitory peptides. Sequence alignment of 39 DPP-IV inhibitory peptides having IC50's<200muM revealed the frequent occurrence of Trp at the N-terminus and Pro at position 2. Canola, chicken egg, oat and wheat were identified as potential sources of DPP-IV inhibitory peptides. In silico approaches may assist in the selection of food proteins for the enzymatic release of DPP-IV inhibitory peptides. The results are relevant to the generation of biofunctional ingredients for glycaemic management.

PubMedSearch : Nongonierma_2014_Food.Chem_165_489
PubMedID: 25038703

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Citations formats

Nongonierma AB, Fitzgerald RJ (2014)
An in silico model to predict the potential of dietary proteins as sources of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
Food Chem 165 :489

Nongonierma AB, Fitzgerald RJ (2014)
Food Chem 165 :489