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通过计算机预测具有血管紧张素转化酶抑制活性的牛奶二肽和三肽。

In silico identification of milk antihypertensive di- and tripeptides involved in angiotensin I-converting enzyme inhibitory activity.

机构信息

University of Novi Sad, Faculty of Technology Novi Sad, Novi Sad, Serbia.

University of Novi Sad, Faculty of Technology Novi Sad, Novi Sad, Serbia.

出版信息

Nutr Res. 2017 Oct;46:22-30. doi: 10.1016/j.nutres.2017.07.009. Epub 2017 Jul 28.

Abstract

Identification of bioactive milk peptides could improve food technology through improved selection of food supplements with a focus on antihypertensive properties. We hypothesized that angiotensin I-converting enzyme (ACE) inhibitory activities of milk di- and tripeptides could be predicted using 3-dimensional quantitative structure activity relationship methods and that these activities could be explained through evaluation of structural features (hydrogen bond donor/acceptor, hydrophobic, steric, and electrostatic) that are responsible for this bioactivity. We aimed to build comparative molecular field analysis (CoMFA) models combined with in silico digestion to predict the peptide sequences released from enzymatic digestion and to evaluate peptides without experimental data. Furthermore, molecular docking simulation was performed with the aim to evaluate structural features. Molecular docking simulations revealed that the most potent inhibitory peptides contain hydrophobic amino acids that enter deep into the hydrophobic pocket of the ACE active site and make interactions with its residues. CoMFA results point out favorable steric interactions and electronegativity at the C-terminus of the milk dipeptides. The CoMFA model appears to favor electropositive amino acids at the second place in tripeptides and electronegative interaction with Tyr520. Furthermore, predicted values of ACE inhibitory activity of dipeptides obtained by peptide cutter are relatively high, which recommend them for application as functional food supplements and natural alternatives to ACE inhibitory drugs. This research suggests that obtained 3-dimensional quantitative structure activity relationship models are able to successfully identify milk-derived di- and tripeptides that have significant antihypertensive activity and provide information for screening and design of novel ACE inhibitors that could be used as supplements in human nutrition.

摘要

生物活性牛奶肽的鉴定可以通过改进具有降压特性的食品补充剂的选择来改善食品技术。我们假设,使用 3 维定量构效关系方法可以预测牛奶二肽和三肽的血管紧张素 I 转换酶 (ACE) 抑制活性,并且可以通过评估负责这种生物活性的结构特征(氢键供体/受体、疏水性、立体和静电)来解释这些活性。我们旨在构建比较分子场分析 (CoMFA) 模型,并结合计算机模拟消化,以预测从酶消化中释放的肽序列,并评估没有实验数据的肽。此外,还进行了分子对接模拟,以评估结构特征。分子对接模拟表明,最有效的抑制肽含有疏水性氨基酸,这些氨基酸深入 ACE 活性部位的疏水性口袋,并与 ACE 活性部位的残基相互作用。CoMFA 结果表明,乳二肽的 C 末端具有有利的立体相互作用和电负性。CoMFA 模型似乎有利于三肽中的第二个正电荷氨基酸和与 Tyr520 的电负性相互作用。此外,通过肽切割器获得的二肽 ACE 抑制活性的预测值相对较高,这表明它们可作为功能性食品补充剂和 ACE 抑制药物的天然替代品应用。这项研究表明,获得的 3 维定量构效关系模型能够成功识别具有显著降压活性的牛奶衍生的二肽和三肽,并为筛选和设计可用于人类营养的新型 ACE 抑制剂提供信息。

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