HoPaCI-DB: host-Pseudomonas and Coxiella interaction database

Autor: Romé Voulhoux, Irmtraud Dunger, Mathias C. Walter, Andreas Ruepp, Dimitrios Frangoulidis, Sophie Bleves, Gabi Kastenmüller
Přispěvatelé: Laboratoire d'ingénierie des systèmes macromoléculaires (LISM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Microbiologie de la Méditerranée (IMM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Helmholtz Zentrum München (HMGU), Technische Universität München = Technical University of Munich (TUM), Bundeswehr Institute of Microbiology, ANR-08-PATH-0004,PATHOMICS(2008)
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Nucleic Acids Research
Nucleic Acids Research, Oxford University Press, 2014, 42 (Database issue), pp.D671--6. ⟨10.1093/nar/gkt925⟩
Nucleic Acids Res. 42, D671-D676 (2014)
Nucleic Acids Research, 2014, 42 (Database issue), pp.D671--6. ⟨10.1093/nar/gkt925⟩
ISSN: 0305-1048
1362-4962
DOI: 10.1093/nar/gkt925⟩
Popis: International audience; 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.
Databáze: OpenAIRE