Structure activity relationship modelling of milk protein-derived peptides with dipeptidyl peptidase IV (DPP-IV) inhibitory activity
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- 作者：Alice B. Nongonierma ; Richard J. FitzGerald ; dick.fitzgerald@ul.ie" class="auth_mail" title="E-mail the corresponding author
- 关键词：ACE ; angiotensin converting enzyme ; ANN ; artificial neural network ; BAP ; bioactive peptide ; BCAA ; branched chain amino acid ; β-Lg ; β-lactoglobulin ; BSA ; bovine serum albumin ; CN ; casein ; DPP-IV ; dipeptidyl peptidase IV ; GIP ; insulinotropic polypeptide ; GLP-1 ; glucagon-like peptide-1 ; HCl ; hydrochloric acid ; IC50 ; half maximal inhibitory concentration ; LF ; lactoferrin ; MLR ; multiple linear regression ; PCA ; principal component analysis ; PLSR ; partial least square regression ; pNA ; p-nitroanilide ; P
- 刊名：Peptides
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：79
- 期：Complete
- 页码：1-7
- 全文大小：866 K
文摘
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Quantitative structure activity relationship (QSAR) modeling was applied to peptides.
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New dipeptidyl peptidase IV (DPP-IV) inhibitory peptides from bovine milk were found.
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LPVPQ and IPM were relatively potent inhibitors of DPP-IV.
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QSAR allowed potency ranking of the competitive DPP-IV inhibitors.
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Milk peptides released in the human intestinal tract can inhibit DPP-IV