Although a number of bioactive peptides are capable of angiotensin I-converting enzyme (ACE) inhibitory effects, little is known regarding the mechanism of hazelnut peptides using molecular simulation. In the present ...Although a number of bioactive peptides are capable of angiotensin I-converting enzyme (ACE) inhibitory effects, little is known regarding the mechanism of hazelnut peptides using molecular simulation. In the present study, gel filtration chromatography, reverse phase-high performance liquid chromatography, and liquid chromatography-electrospray ionization-tandem mass (LC-ESI-MS/MS) were employed for purifying and identifying the ACE inhibitory peptides from hazelnut. To understand the mode of action of these peptides, the interaction between the inhibitory peptides and ACE was investigated. The results identified novel ACE inhibitory peptides Asp-Asp-Glu-Leu-Arg-Gln-Ala (DDELRQA), Asp-Asp-Glu-Leu-Arg-Ala-Ala (DDELRAA), and Asp-Gly-Glu-Leu-Arg-Glu (DGELRE). The binding free energies of DDELRQA, DDELRAA, and DGELRE for ACE were -10.2, -9.0, and -8.8 kcal/mol, respectively. This study proves the high stability of ACE inhibitory peptides derived from hazelnut against different temperature and pH of processing.展开更多
以毛榛与平榛作为研究对象,将去壳后的毛榛与平榛分别制成90组与60组试验样本,获取波长范围为900 nm~1700 nm的原始光,同时,通过凯氏定氮法测得其中蛋白质含量真实值,并通过对比研究一阶(1-der)导数、二阶(2-der)导数、多元散射校正(mul...以毛榛与平榛作为研究对象,将去壳后的毛榛与平榛分别制成90组与60组试验样本,获取波长范围为900 nm~1700 nm的原始光,同时,通过凯氏定氮法测得其中蛋白质含量真实值,并通过对比研究一阶(1-der)导数、二阶(2-der)导数、多元散射校正(multiplicative scatter correction,MSC)以及标准变量变换(standard normal variate,SNV)等预处理方法对模型精度的影响,确定适合榛子光谱的预处理方法。并通过反向间隔偏最小二乘法(backward interval partial least squares,BiPLS)分别选出适用于蛋白质预测的特征波段,达到精简模型的效果。以极限学习机(extreme learning machine,ELM)为建模方法建立蛋白质含量预测模型,最终可以得出两种榛子的预测集的相关系数R与预测均方根误差(root mean square error of prediction,RMSEP)分别为0.8806和0.5993,0.8823和0.5984,模型精确度较高。展开更多
文摘Although a number of bioactive peptides are capable of angiotensin I-converting enzyme (ACE) inhibitory effects, little is known regarding the mechanism of hazelnut peptides using molecular simulation. In the present study, gel filtration chromatography, reverse phase-high performance liquid chromatography, and liquid chromatography-electrospray ionization-tandem mass (LC-ESI-MS/MS) were employed for purifying and identifying the ACE inhibitory peptides from hazelnut. To understand the mode of action of these peptides, the interaction between the inhibitory peptides and ACE was investigated. The results identified novel ACE inhibitory peptides Asp-Asp-Glu-Leu-Arg-Gln-Ala (DDELRQA), Asp-Asp-Glu-Leu-Arg-Ala-Ala (DDELRAA), and Asp-Gly-Glu-Leu-Arg-Glu (DGELRE). The binding free energies of DDELRQA, DDELRAA, and DGELRE for ACE were -10.2, -9.0, and -8.8 kcal/mol, respectively. This study proves the high stability of ACE inhibitory peptides derived from hazelnut against different temperature and pH of processing.
文摘以毛榛与平榛作为研究对象,将去壳后的毛榛与平榛分别制成90组与60组试验样本,获取波长范围为900 nm~1700 nm的原始光,同时,通过凯氏定氮法测得其中蛋白质含量真实值,并通过对比研究一阶(1-der)导数、二阶(2-der)导数、多元散射校正(multiplicative scatter correction,MSC)以及标准变量变换(standard normal variate,SNV)等预处理方法对模型精度的影响,确定适合榛子光谱的预处理方法。并通过反向间隔偏最小二乘法(backward interval partial least squares,BiPLS)分别选出适用于蛋白质预测的特征波段,达到精简模型的效果。以极限学习机(extreme learning machine,ELM)为建模方法建立蛋白质含量预测模型,最终可以得出两种榛子的预测集的相关系数R与预测均方根误差(root mean square error of prediction,RMSEP)分别为0.8806和0.5993,0.8823和0.5984,模型精确度较高。
