Department of Chemical Engineering, Boǧaziçi University, Istanbul, Turkey.
Biotechnol J. 2013 Jan;8(1):85-96. doi: 10.1002/biot.201200110. Epub 2012 Nov 29.
Infectious diseases comprise some of the leading causes of death and disability worldwide. Interactions between pathogen and host proteins underlie the process of infection. Improved understanding of pathogen-host molecular interactions will increase our knowledge of the mechanisms involved in infection, and allow novel therapeutic solutions to be devised. Complete genome sequences for a number of pathogenic microorganisms, as well as the human host, has led to the revelation of their protein-protein interaction (PPI) networks. In this post-genomic era, pathogen-host interactions (PHIs) operating during infection can also be mapped. Detailed systematic analyses of PPI and PHI data together are required for a complete understanding of pathogenesis of infections. Here we review the striking results recently obtained during the construction and investigation of these networks. Emphasis is placed on studies producing large-scale interaction data by high-throughput experimental techniques.
传染病是全球范围内导致死亡和残疾的主要原因之一。病原体和宿主蛋白之间的相互作用是感染过程的基础。对病原体-宿主分子相互作用的深入了解将增加我们对感染机制的认识,并允许设计新的治疗方法。一些致病微生物以及人类宿主的完整基因组序列揭示了它们的蛋白质-蛋白质相互作用(PPI)网络。在这个后基因组时代,感染过程中发生的病原体-宿主相互作用(PHI)也可以被映射。为了全面了解感染的发病机制,需要对 PPI 和 PHI 数据进行详细的系统分析。在这里,我们回顾了在构建和研究这些网络时最近获得的惊人结果。重点是通过高通量实验技术产生大规模相互作用数据的研究。