Zhou Hufeng, Jin Jingjing, Wong Limsoon
NUS Graduate School for Integrative Sciences & Engineering, National University of Singapore, Singapore 117456, Singapore.
J Bioinform Comput Biol. 2013 Apr;11(2):1230001. doi: 10.1142/S0219720012300018. Epub 2012 Oct 24.
Host-pathogen interactions are important for understanding infection mechanism and developing better treatment and prevention of infectious diseases. Many computational studies on host-pathogen interactions have been published. Here, we review recent progress and results in this field and provide a systematic summary, comparison and discussion of computational studies on host-pathogen interactions, including prediction and analysis of host-pathogen protein-protein interactions; basic principles revealed from host-pathogen interactions; and database and software tools for host-pathogen interaction data collection, integration and analysis.
宿主-病原体相互作用对于理解感染机制以及开发更好的传染病治疗和预防方法至关重要。已经发表了许多关于宿主-病原体相互作用的计算研究。在此，我们综述了该领域的最新进展和成果，并对宿主-病原体相互作用的计算研究进行了系统的总结、比较和讨论，包括宿主-病原体蛋白质-蛋白质相互作用的预测和分析；从宿主-病原体相互作用中揭示的基本原理；以及用于宿主-病原体相互作用数据收集、整合和分析的数据库和软件工具。
