Strosberg A Donny
Hybrigenics, 3/5 Impasse Reille, 75014 Paris, France.
Curr Opin Mol Ther. 2002 Dec;4(6):594-600.
Identification, selection, validation and prioritization of targets for therapeutic intervention requires understanding of the biological role of individual proteins in cellular pathways. Unraveling the ways in which proteins interact with each other appears to be crucial in achieving that goal. A number of recently described high-throughput approaches for analyzing cellular protein-protein interactions and previously proposed prediction procedures are compared in this review. The relative advantages of each method are discussed in relation to reproducibility, comprehensiveness and biological significance. It is concluded that only a combination of complementary biochemical technologies supported by reliable algorithms, will provide exhaustive maps of protein interactions for a cellular interactome.
治疗干预靶点的识别、选择、验证和优先级确定需要了解单个蛋白质在细胞通路中的生物学作用。阐明蛋白质之间的相互作用方式对于实现这一目标似乎至关重要。本文综述比较了最近描述的一些用于分析细胞蛋白质 - 蛋白质相互作用的高通量方法和先前提出的预测程序。讨论了每种方法在可重复性、全面性和生物学意义方面的相对优势。得出的结论是,只有由可靠算法支持的互补生化技术的组合,才能为细胞相互作用组提供详尽的蛋白质相互作用图谱。