从生物泛肽集的氨基酸频率分布预测罗素毒蛇PLA2与γ-磷脂酶抑制剂PIP之间的蛋白-蛋白相互作用位点。

IF 1.4
Karthika Rajan, Margaret Reick, Aswathy Alangode, Martin Reick
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引用次数: 0

摘要

我们以罗素毒蛇毒液磷脂酶A2 (RV-PLA2)为诱饵,筛选随机肽噬菌体展示文库。研究人员分析并挖掘了所得的七肽序列信息,以确定RV-PLA2二聚体的两个亚基之间以及RV-PLA2与来自马来斑马鱼的γPLA2抑制剂PIP之间可能的相互作用位点。这部分是通过将亲和选择的肽与RV-PLA2和PIP序列进行序列比对来完成的。由于序列比对计算的相似性分数不足以准确确定RV-PLA2二聚体的相互作用界面,因此我们探索了使用基于氨基酸频率的相互作用分数(SFI/SFIN)来更准确地预测蛋白质-蛋白质相互作用位点。将SFI(N)分数升高的七聚体与RV-PLA2同型二聚体晶体结构中观察到的相互作用界面以及RV-PLA2结构与PIP模型之间的蛋白-蛋白对接预测的相互作用位点进行比较。在RV-PLA2同型二聚体和RV-PLA2 γPLI异质结构中,具有高密度蛋白质接触的片段与SFI和/或SFIN得分显著高于平均水平的七聚体序列相吻合。SFI和SFIN评分的升高与肽功能有关,因为SFI和SFI(N)评分最高的七聚体LPGLPLS、GLPLSLQ和SLQNGLY构成了已知的PLA2抑制剂P-PB。I (LPGLPLSLQNGLY)、KLGRVDI、WDGVYIR组成PIP-17 (LGRVDIHVWDGVYIRGR), hsPLA2的IC50为5.3 μM。图表显示了SFI分数和平均溶剂可及性(每七聚体)之间的最大值,表明溶剂可及性是蛋白质-蛋白质相互作用和噬菌体选择的主要驱动因素。我们通过计算方法表明,在选择与相同靶蛋白结合的相同长度的噬菌体展示的小肽集中,有助于在特定位置结合的氨基酸比随机肽出现的频率更高。这种特定氨基酸的位置特异性选择可以在该组选定肽的位置特异性氨基酸频率分布中检测到。因此,当这个特定位置的氨基酸频率被映射回一个相同长度的特定氨基酸序列时,这些频率的总和可以作为所选氨基酸富集程度的衡量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of protein-protein interaction sites between Russell's viper PLA2 and the γ-phospholipase inhibitor PIP from the amino acid frequency distribution of a bio-panned peptide set.

We screened a random peptide phage display library using Russell's viper venom phospholipase A2 (RV-PLA2) as bait. Sequence information from the resulting set of bio-panned heptapeptides was analyzed and mined to determine likely sites of interaction between two subunits of RV-PLA2 homo dimers and between RV-PLA2 and the γPLA2 inhibitor PIP from Malayopython reticulatus. This was accomplished in part by sequence alignment of the affinity-selected peptides with the sequences of RV-PLA2 and PIP. Because similarity scores calculated from sequence alignments proved inadequate to determine interaction interfaces accurately for RV-PLA2 dimers, we explored the use of amino acid frequency-based interactions scores (SFI/SFIN) for a more accurate prediction of protein-protein interaction sites. Heptamers with elevated SFI(N) scores were compared to interfaces of interaction observed in crystal structures of RV-PLA2 homodimers and to sites of interaction predicted by protein-protein docking between structures of RV-PLA2 and model of PIP. Segments with a high density of protein-protein contacts coincided with heptamer sequences exhibiting SFI and/or SFIN scores significantly above average, in both RV-PLA2 homodimers and in RV-PLA2 γPLI heteromeric structures. Elevated SFI and SFIN scores were associated with peptide function since the heptamers with some of the highest SFI and SFI(N) scores, LPGLPLS, GLPLSLQ and SLQNGLY constitute the known PLA2 inhibitor P-PB.I (LPGLPLSLQNGLY) while KLGRVDI, and WDGVYIR, constitute PIP-17 (LGRVDIHVWDGVYIRGR), IC50 for hsPLA2: 5.3 μM. A graph showing the alignment of maxima between SFI scores and average solvent accessibility (per heptamer) suggests that solvent accessibility is a major driver of both protein-protein interaction and phage selection. Insights We show by computational methods that in sets of small phage-displayed peptides of the same length selected for binding to the same target protein, amino acids contributing to binding at a particular position occur at higher frequencies than in random peptides. This position-specific selection of particular amino acids can be detected in the position-specific amino acid frequency distribution of that set of selected peptides. Therefore, when this position-specific amino acid frequency is mapped back onto a particular amino acid sequence of the same length, the sum of these frequencies can function as a measure of enrichment of selected amino acids.

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