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混合乳胰蛋白酶水解乳清蛋白中ACE抑制肽和抗氧化肽的计算机模拟分析与体外分析之间的不一致性。

Discordance between in silico & in vitro analyses of ACE inhibitory & antioxidative peptides from mixed milk tryptic whey protein hydrolysate.

作者信息

Chatterjee Alok, Kanawjia S K, Khetra Yogesh, Saini Prerna

机构信息

Dairy Technology Division, National Dairy Research Institute, Karnal, 132001 Haryana India.

Dairy Chemistry Division, National Dairy Research Institute, Karnal, 132001 Haryana India.

出版信息

J Food Sci Technol. 2015 Sep;52(9):5621-30. doi: 10.1007/s13197-014-1669-z. Epub 2014 Dec 11.

Abstract

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 ß 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.

摘要

通过液相色谱-串联质谱法(LCMS/MS)从混合牛奶(水牛和奶牛)胰蛋白酶水解乳清蛋白中鉴定出的具有血管紧张素转换酶(ACE)抑制和抗氧化活性的肽段,与计算机模拟预测结果进行了比较。来自水牛和奶牛的α-乳白蛋白(α la)和β-乳球蛋白(β lg)序列被用于计算机模拟研究。通过访问SWISS-PROT和BIOPEP蛋白质库来预测肽段的产生。研究发现预测结果与实际结果之间存在差距,而文献中尚未对此进行探讨。许多体外获得的肽段并未在计算机模拟预测中体现出来。在不同的数据库中,所鉴定出的肽段也存在差异。在计算机模拟预测中,具有已知生物活性的肽段同样未被反映出来。基于不同来源蛋白质和氨基酸序列的计算机模拟释放从而预测生物活性肽的产生,并据此与实际结果进行验证,这在研究文献中经常被报道。鉴于计算机辅助模拟预测是一个有效的研究方向,定期更新蛋白质库并进行有效的整合以获得更精确的结果至关重要。这两种研究技术之间的差距在文献中尚未得到解决。在用于预测的工具中增加变量的灵活性,以及建立一个具有各种肽段搜索选项的分层数据库,将进一步扩大研究范围并增强研究力度。

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