Vorob'ev Mikhail M
A.N. Nesmeyanov Institute of Organoelement Compounds, Russian Academy of Sciences, 28 ul. Vavilova, 119991 Moscow, Russia.
Int J Mol Sci. 2023 Jul 25;24(15):11929. doi: 10.3390/ijms241511929.
Prospects for predicting the fragmentation of polypeptide chains during their enzymatic hydrolysis using proteolysis models are considered. The opening of the protein substrate during proteolysis and the exposure of its internal peptide bonds for a successful enzymatic attack, the so-called demasking process, were taken into account. The two-step proteolysis model was used, including the parameters of demasking and the rate constants of hydrolysis of enzyme-specific peptide bonds. Herein, we have presented an algorithm for calculating the concentrations of intermediate and final peptide fragments depending on the time of hydrolysis or the degree of hydrolysis. The intermediate peptide fragments with two or one internal specific peptide bond were considered. The fragmentation of β-lactoglobulin (β-LG) by trypsin was predicted, and the calculated concentration curves for peptide fragments were compared with the experimental dependences of the concentrations on the degree of hydrolysis. Numerical parameters were proposed that characterize the concentration curves for intermediate and final peptide fragments, and they were used to compare the calculated and experimental dependences. The predicted distribution of the peptide fragments corresponded to the experimental data on the peptide release during the proteolysis of β-LG by trypsin.
本文探讨了利用蛋白水解模型预测多肽链酶促水解过程中片段化情况的前景。考虑了蛋白水解过程中蛋白质底物的打开以及其内部肽键暴露以实现成功酶促攻击的过程,即所谓的去掩蔽过程。采用了两步蛋白水解模型,包括去掩蔽参数和酶特异性肽键水解的速率常数。在此,我们提出了一种算法,用于根据水解时间或水解程度计算中间和最终肽片段的浓度。考虑了具有两个或一个内部特异性肽键的中间肽片段。预测了胰蛋白酶对β-乳球蛋白(β-LG)的片段化,并将计算得到的肽片段浓度曲线与浓度对水解程度的实验依赖性进行了比较。提出了表征中间和最终肽片段浓度曲线的数值参数,并用于比较计算和实验依赖性。预测的肽片段分布与胰蛋白酶对β-LG进行蛋白水解过程中肽释放的实验数据相符。