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HoPaCI-DB: host-Pseudomonas and Coxiella interaction database

Authors :: Romé Voulhoux
Irmtraud Dunger
Mathias C. Walter
Andreas Ruepp
Dimitrios Frangoulidis
Sophie Bleves
Gabi Kastenmüller
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)
Source :: 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⟩
Publication Year :: 2014
Publisher :: HAL CCSD, 2014.
Abstract: 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.

Details

Language :: English
ISSN :: 03051048 and 13624962
Database :: OpenAIRE
Journal :: 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⟩
Accession number :: edsair.doi.dedup.....358b5d458ea8e6cd5dea93f68a8ccc06
Full Text :: https://doi.org/10.1093/nar/gkt925⟩