Université de Paris, INSERM U 1267, CNRS U 8258, UTCBS, F-75006 Paris, France.
Unité de Biologie Fonctionnelle et Adaptative, Université de Paris, CNRS U 8251, INSERM U 1133, F-75013 Paris, France.
Biomolecules. 2022 Jan 21;12(2):178. doi: 10.3390/biom12020178.
In a previous study, we have shown that PEPscan can provide a cheap and rapid means to identify candidate interfering peptides (IPs), i.e., peptides able to disrupt a target protein-protein interaction. PEPscan was shown to be effective in identifying a limited number of candidate IPs specific to the target interaction. Here, we investigate the results of 14 new PEPscan experiments for protein complexes of known 3D structures. We show that for almost all complexes, PEPscan is able to identify candidate IPs that are located at the protein-protein interface. The information it provides about the binding site seems, however, too ambiguous to be exploited in a simple manner to assist the modeling of protein complexes. Moreover, these candidates are associated with false positives. For these, we suggest they could correspond to non-specific binders, which leaves room for further optimization of the PEPscan protocol. Another unexpected advance comes from the observation of the applicability of PEPscan for polysaccharides and labeled peptides, suggesting that PEPscan could become a large spectrum approach to investigate protein-binder interactions, the binder not necessarily being a protein.
在之前的研究中,我们已经表明 PEPscan 可以提供一种廉价且快速的方法来识别候选干扰肽(IP),即能够破坏靶蛋白-蛋白相互作用的肽。PEPScan 被证明可以有效地识别针对特定目标相互作用的有限数量的候选 IP。在这里,我们研究了 14 项新的 PEPscan 实验对已知 3D 结构的蛋白质复合物的结果。我们表明,对于几乎所有的复合物,PEPScan 都能够识别位于蛋白质-蛋白质界面的候选 IP。然而,它提供的关于结合位点的信息似乎过于模糊,无法以简单的方式利用它来辅助蛋白质复合物的建模。此外,这些候选者与假阳性有关。对于这些,我们建议它们可能对应于非特异性结合物,这为进一步优化 PEPscan 协议留出了空间。另一个意外的进展来自于观察到 PEPscan 对多糖和标记肽的适用性,这表明 PEPscan 可能成为一种广泛的方法来研究蛋白质结合物相互作用,而结合物不一定是蛋白质。