کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7596118 | 1492126 | 2014 | 43 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An in silico model to predict the potential of dietary proteins as sources of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
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چکیده انگلیسی
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 <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 10â6 μMâ1 gâ1), 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 165, 15 December 2014, Pages 489-498
Journal: Food Chemistry - Volume 165, 15 December 2014, Pages 489-498
نویسندگان
Alice B. Nongonierma, Richard J. FitzGerald,