Evidence map›Paper›PMID 28592293›Full record

ArticleMalaria journal2017

Plasmobase: a comparative database of predicted domain architectures for Plasmodium genomes.

Juliana Bernardes, Catherine Vaquero, Alessandra Carbone

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Preparing for Transmission: Gene Regulation inFrontiers in cellular and infection microbiology · 2020
    Review
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Juliana BernardesLaboratoire de Biologie Computationnelle et Quantitative, UMR 7238, IBPS, CNRS, UPMC Univ-Paris 6, Sorbonne Universités, 4 place Jussieu, 75005, Paris, France.
Catherine VaqueroCentre d' Immunologie et des Maladies Infectieuses (CIMI-Paris), CNRS ERL 8255, INSERM U1135, UPMC Univ-Paris 6, Sorbonne Universités, Paris, France.
Alessandra CarboneLaboratoire de Biologie Computationnelle et Quantitative, UMR 7238, IBPS, CNRS, UPMC Univ-Paris 6, Sorbonne Universités, 4 place Jussieu, 75005, Paris, France. alessandra.carbone@lip6.fr.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the availability of complete genome sequences of both human and non-human Plasmodium parasites, it is now possible to use comparative genomics to look for orthology across Plasmodium species and for species specific genes. This comparative analyses could provide important clues for the development of new strategies to prevent and treat malaria in humans, however, the number of functionally annotated proteins is still low for all Plasmodium species. In the context of genomes that are hard to annotate because of sequence divergence, such as Plasmodium, domain co-occurrence becomes particularly important to trust predictions. In particular, domain architecture prediction can be used to improve the performance of existing annotation methods since homologous proteins might share their architectural context.

resultsPlasmobase is a unique database designed for the comparative study of Plasmodium genomes. Domain architecture reconstruction in Plasmobase relies on DAMA, the state-of-the-art method in architecture prediction, while domain annotation is realised with CLADE, a novel annotation tool based on a multi-source strategy. Plasmobase significantly increases the Pfam domain coverage of all Plasmodium genomes, it proposes new domain architectures as well as new domain families that have never been reported before for these genomes. It proposes a visualization of domain architectures and allows for an easy comparison among architectures within Plasmodium species and with other species, described in UniProt.

conclusionsPlasmobase is a valuable new resource for domain annotation in Plasmodium genomes. Its graphical presentation of protein sequences, based on domain architectures, will hopefully be of interest for comparative genomic studies. It should help to discover species-specific genes, possibly underlying important phenotypic differences between parasites, and orthologous gene families for deciphering the biology of these complex and important Apicomplexan organisms. In conclusion, Plasmobase is a flexible and rich site where any biologist can find something of his/her own interest. AVAILABILITY: Plasmobase is accessible at http://genome.lcqb.upmc.fr/plasmobase/ .

Indexed as

Databases, GeneticGenome, ProtozoanGenomicsPlasmodiumAnnotationDatabaseDomain architecture predictionGenomeGenome comparisonPlasmodiumProtein architecture

Identifiers

PMID28592293
PMCPMC5463329
OpenAlexW2624069548

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.