Evidence map›Paper›PMID 19604365›Full record

ArticleBMC genomics2009

P2CS: a two-component system resource for prokaryotic signal transduction research.

Mohamed Barakat, Philippe Ortet, Cécile Jourlin-Castelli, Mireille Ansaldi, Vincent Méjean, David E Whitworth

Abstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Article
  2. Pairing interacting protein sequences using masked language modeling.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Regulation of gene expression by non-phosphorylated response regulators.International microbiology : the official journal of the Spanish Society for Microbiology · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. A Genome-Scale Co-Functional Network ofMolecules and cells · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Inferring interaction partners from protein sequences.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Article
  20. 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

6 authors.

Mohamed BarakatCEA, DSV, IBEB, LEMiRE, CNRS, Université Aix-Marseille II, CEA Cadarache, F-13108 Saint-Paul-lez-Durance, France. mohamed.barakat@cea.fr
Philippe Ortet
Cécile Jourlin-Castelli
Mireille Ansaldi
Vincent Méjean
David E Whitworth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the escalation of high throughput prokaryotic genome sequencing, there is an ever-increasing need for databases that characterise, catalogue and present data relating to particular gene sets and genomes/metagenomes. Two-component system (TCS) signal transduction pathways are the dominant mechanisms by which micro-organisms sense and respond to external as well as internal environmental changes. These systems respond to a wide range of stimuli by triggering diverse physiological adjustments, including alterations in gene expression, enzymatic reactions, or protein-protein interactions. DESCRIPTION: We present P2CS (Prokaryotic 2-Component Systems), an integrated and comprehensive database of TCS signal transduction proteins, which contains a compilation of the TCS genes within 755 completely sequenced prokaryotic genomes and 39 metagenomes. P2CS provides detailed annotation of each TCS gene including family classification, sequence features, functional domains, as well as genomic context visualization. To bypass the generic problem of gene underestimation during genome annotation, we also constituted and searched an ORFeome, which improves the recovery of TCS proteins compared to searches on the equivalent proteomes.

conclusionP2CS has been developed for computational analysis of the modular TCSs of prokaryotic genomes and metagenomes. It provides a complete overview of information on TCSs, including predicted candidate proteins and probable proteins, which need further curation/validation. The database can be browsed and queried with a user-friendly web interface at http://www.p2cs.org/.

Indexed as

Databases, ProteinSignal TransductionComputational BiologyGenome, ArchaealGenome, BacterialUser-Computer Interface

Identifiers

PMID19604365
PMCPMC2716373

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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.