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 IC 50 value <2000 μM) and the specific contribution of their amino acids into account. Bovine α-lactalbumin (α-La) and κ-casein (CN) displayed the highest protein coverage (PC, 43.9%) and potency index (PI, 17.9 10-6 μM-1 g-1), respectively for DPP-IV inhibitory peptides. Sequence alignment of 39 DPP-IV inhibitory peptides having IC50's < 200 μM 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.
Original language | English |
---|---|
Pages (from-to) | 489-498 |
Number of pages | 10 |
Journal | Food Chemistry |
Volume | 165 |
DOIs | |
Publication status | Published - 15 Dec 2014 |
Keywords
- Bioactive peptides
- Dipeptidyl peptidase IV inhibitors
- Food proteins
- In silico model
- Type 2 diabetes