Discordance between in silico & in vitro analyses of ACE inhibitory & antioxidative peptides from mixed milk tryptic whey protein hydrolysate
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  • 作者:Alok Chatterjee ; S. K. Kanawjia ; Yogesh Khetra…
  • 关键词:In silico ; In vitro ; Antihypertensive ; Antioxidant ; Whey protein
  • 刊名:Journal of Food Science and Technology
  • 出版年:2015
  • 出版时间:September 2015
  • 年:2015
  • 卷:52
  • 期:9
  • 页码:5621-5630
  • 全文大小:362 KB
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    Shimada K, Fujikawa K, Yahara K, Nakamura T (1
  • 作者单位:Alok Chatterjee (1)
    S. K. Kanawjia (1)
    Yogesh Khetra (1)
    Prerna Saini (2)

    1. Dairy Technology Division, National Dairy Research Institute, Karnal, 132001, Haryana, India
    2. Dairy Chemistry Division, National Dairy Research Institute, Karnal, 132001, Haryana, India
  • 刊物类别:Chemistry and Materials Science
  • 刊物主题:Chemistry
    Nutrition
    Food Science
    Chemistry
  • 出版者:Springer India
  • ISSN:0975-8402
文摘
ACE inhibitory and antioxidative peptides identified by LCMS/MS, from mixed milk (Bubalus bubalis and Bos taurus) tryptic whey protein hydrolysate, were compared with the in silico predictions. α la and ? lg sequences, both from Bubalus bubalis and Bos taurus, were used for in silico study. SWISS-PROT and BIOPEP protein libraries were accessed for prediction of peptide generation. Study observed gaps in the prediction versus actual results, which remain unaddressed in the literature. Many peptides obtained in vitro, were not reflected in in silico predictions. Differences in identified peptides in separate libraries were observed too. In in silico prediction, peptides with known biological activities were also not reflected. Predictions, towards generation of bioactive peptides, based upon in silico release of proteins and amino acid sequences from different sources and thereupon validation in relation to actual results has often been reported in research literature. Given that computer aided simulation for prediction purposes is an effective research direction, regular updating of protein libraries and an effectual integration, for more precise results, is critical. The gaps addressed between these two techniques of research, have not found any address in literature. Inclusion of more flexibility with the variables, within the tools being used for prediction, and a hierarchy based database with search options for various peptides, will further enhance the scope and strength of research. Keywords In silico In vitro Antihypertensive Antioxidant Whey protein

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