Department of Medical Protein Research, VIB, Ghent, Belgium.
J Proteomics. 2010 Jun 16;73(8):1415-20. doi: 10.1016/j.jprot.2010.02.001. Epub 2010 Feb 12.
Many processes in a cell depend on protein-protein interactions (PPIs) and perturbations of these interactions can lead to diseases. Comprehensive knowledge of PPI networks will not only give us information on how the cell is organized, but will also provide new drug targets. Current binary PPI networks are mainly generated by high-throughput yeast two-hybrid. Due to the small overlap of these maps, it has long been assumed that these maps are of low quality containing many false positives. However, by using an orthogonal two-hybrid method, MAPPIT (mammalian protein-protein interaction trap), these maps were shown to be of high quality suggesting that the limited overlap is likely due to low sensitivity and not to low specificity.
许多细胞中的过程都依赖于蛋白质-蛋白质相互作用（PPIs），而这些相互作用的干扰可能导致疾病。全面了解 PPI 网络不仅可以让我们了解细胞的组织方式，还可以为新药靶点提供信息。目前的二进制 PPI 网络主要是通过高通量酵母双杂交产生的。由于这些图谱的重叠很小，长期以来人们一直认为这些图谱的质量较低，包含许多假阳性。然而，通过使用正交的双杂交方法——MAPPIT（哺乳动物蛋白质-蛋白质相互作用捕获），这些图谱被证明具有高质量，这表明有限的重叠可能是由于低灵敏度而不是低特异性所致。
