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IA3样肽作为天冬氨酸蛋白酶抑制剂的定量构效关系

Quantitative structure activity relationship of IA3-like peptides as aspartic proteinase inhibitors.

作者信息

Padrón-García Juan Alexander, Alonso-Tarajano Manuel, Alonso-Becerra Esther, Winterburn Tim J, Ruiz Yasser, Kay John, Berry Colin

机构信息

Laboratory of Theoretical and Computational Chemistry, Chemistry Faculty, Havana University, 10400, Havana, Cuba.

出版信息

Proteins. 2009 Jun;75(4):859-69. doi: 10.1002/prot.22295.

Abstract

The IA(3) polypeptide inhibitor from Saccharomyces cerevisiae interacts potently and selectively with its target, the S. cerevisiae vacuolar aspartic proteinase (ScPr). Upon encountering the enzyme, residues 2-32 of the intrinsically unstructured IA(3) polypeptide become ordered into an almost-perfect alpha-helix. In previous IA(3) mutagenesis studies, we identified important characteristics of the enzyme inhibitor interactions and generated a large dataset of variants with K(i) values determined experimentally at pH 3.1 and 4.7. Using this information, the three-dimensional structure of each variant was modelled in silico with the correct protonation for each experimental pH value. A set of descriptors of the inhibitor/ScPr interactions was then calculated and used to establish mathematical models relating the variant sequences to their inhibitory activities at each pH. Cross-validation, external-set validation and five separate selections of the training and test samples confirmed the robustness of the equations. A major contributor to the structure-activity relationship was the free energy of binding calculated by the FoldX program. The mathematical models were challenged further (i) by in silico alanine-scanning mutagenesis of residues 2-32 in IA(3) and relating binding energy to experimentally derived inhibition constants for selected representatives of these variants; and (ii) by predicting inhibitory-potencies for two novel IA(3)-variants. The predictions of the equations for these new IA(3)-variants with ScPr matched almost precisely the kinetic data determined experimentally. The models described represent valuable tools for the future design of novel inhibitor variants active against ScPr and other aspartic proteinases.

摘要

来自酿酒酵母的IA(3)多肽抑制剂与其靶标——酿酒酵母液泡天冬氨酸蛋白酶(ScPr)发生有效且选择性的相互作用。一旦与该酶相遇,内在无序的IA(3)多肽的第2至32位残基会有序排列成几乎完美的α螺旋。在之前的IA(3)诱变研究中,我们确定了酶抑制剂相互作用的重要特征,并生成了一个大型变体数据集,其抑制常数(K(i))值是在pH 3.1和4.7条件下通过实验测定的。利用这些信息,针对每个实验pH值,以正确的质子化状态在计算机上模拟了每个变体的三维结构。然后计算了一组抑制剂/ScPr相互作用的描述符,并用于建立数学模型,将变体序列与其在每个pH值下的抑制活性相关联。交叉验证、外部数据集验证以及对训练和测试样本的五次独立选择均证实了这些方程的稳健性。结构-活性关系的一个主要贡献因素是通过FoldX程序计算的结合自由能。通过以下方式进一步验证了这些数学模型:(i)对IA(3)中第2至32位残基进行计算机丙氨酸扫描诱变,并将结合能与这些变体的选定代表的实验得出的抑制常数相关联;(ii)预测两种新型IA(3)变体的抑制效力。这些新型IA(3)变体与ScPr相互作用的方程预测几乎与实验测定的动力学数据完全匹配。所描述的模型是未来设计对ScPr和其他天冬氨酸蛋白酶具有活性的新型抑制剂变体的宝贵工具。

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