CNRS/Aix-Marseille University, Laboratoire d'Ingénierie des Systèmes Macromoléculaires (UMR7255), Institut de Microbiologie de la Méditerranée (IMM), 31 Chemin Joseph Aiguier, 13402 Marseille cedex 20, France, Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany, Department of Genome-Oriented Bioinformatics, Center of Life and Food Science Weihenstephan, Technische Universität München, Freising, Germany and Bundeswehr Institute of Microbiology, Neuherbergstrasse 11, 80937 Munich, Germany.
Nucleic Acids Res. 2014 Jan;42(Database issue):D671-6. doi: 10.1093/nar/gkt925. Epub 2013 Oct 16.
Bacterial infectious diseases are the result of multifactorial processes affected by the interplay between virulence factors and host targets. The host-Pseudomonas and Coxiella interaction database (HoPaCI-DB) is a publicly available manually curated integrative database (http://mips.helmholtz-muenchen.de/HoPaCI/) of host-pathogen interaction data from Pseudomonas aeruginosa and Coxiella burnetii. The resource provides structured information on 3585 experimentally validated interactions between molecules, bioprocesses and cellular structures extracted from the scientific literature. Systematic annotation and interactive graphical representation of disease networks make HoPaCI-DB a versatile knowledge base for biologists and network biology approaches.
细菌传染病是由多种因素相互作用影响致病因子和宿主靶标而导致的结果。宿主-铜绿假单胞菌和柯克斯体相互作用数据库（HoPaCI-DB）是一个公开的、经过人工整理的整合数据库（http://mips.helmholtz-muenchen.de/HoPaCI/），包含了铜绿假单胞菌和贝氏柯克斯体的宿主-病原体相互作用数据。该资源提供了 3585 个分子、生物过程和细胞结构之间的实验验证的相互作用的结构化信息，这些信息是从科学文献中提取出来的。疾病网络的系统注释和交互式图形表示使 HoPaCI-DB 成为生物学家和网络生物学方法的多功能知识库。
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