Evidence map›Paper›PMID 24137008›Full record

ArticleNucleic acids research2014

HoPaCI-DB: host-Pseudomonas and Coxiella interaction database.

Sophie Bleves, Irmtraud Dunger, Mathias C Walter, Dimitrios Frangoulidis, Gabi Kastenmüller, Romé Voulhoux, Andreas Ruepp

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. InTxDB: interaction data between gram-negative bacteria secreted effectors and host proteins.Database : the journal of biological databases and curation · 2025
    Article
  3. PHILM2Web: A high-throughput database of macromolecular host-pathogen interactions on the Web.Database : the journal of biological databases and curation · 2022
    Article
  4. Review
  5. Interface-Based Structural Prediction of Novel Host-Pathogen Interactions.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  6. Structural host-microbiota interaction networks.PLoS computational biology · 2017
    Review
  7. PCPPI: a comprehensive database for the prediction of Penicillium-crop protein-protein interactions.Database : the journal of biological databases and curation · 2017
    Article
  8. A review on host-pathogen interactions: classification and prediction.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    Review
  9. Article
  10. Databases for Microbiologists.Journal of bacteriology · 2015
    Review
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Sophie BlevesCNRS/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.
Irmtraud Dunger
Mathias C Walter
Dimitrios Frangoulidis
Gabi Kastenmüller
Romé Voulhoux
Andreas Ruepp
Helmholtz Zentrum München · DEInstitut für Mikrobiologie der BundeswehrLaboratoire de Photochimie et d'Ingénierie Macromoléculaire · FRLaboratoire d'Ingénierie des Systèmes MacromoléculairesTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Databases, FactualHost-Pathogen InteractionsBacterial Secretion SystemsCoxiella burnetiiHumansInternetPseudomonas aeruginosaPseudomonas InfectionsQ FeverBacterial Secretion Systems

Identifiers

PMID24137008
PMCPMC3965080
OpenAlexW2113849888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.