Evidence map›Paper›PMID 31306428›Full record

ArticlePLoS neglected tropical diseases2019

ParaDB: A manually curated database containing genomic annotation for the human pathogenic fungi Paracoccidioides spp.

David Aciole Barbosa, Fabiano Bezerra Menegidio, Valquíria Campos Alencar, Rafael S Gonçalves, Juliana de Fátima Santos Silva, Renata Ozelami Vilas Boas, Yara Natércia Lima Faustino de Maria, Daniela Leite Jabes, Regina Costa de Oliveira, Luiz R Nunes

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. One Century of Study: What We Learned aboutJournal of fungi (Basel, Switzerland) · 2021
    Review
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

10 authors at 2 institutions in 1 country.

David Aciole BarbosaNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.ORCID 0000-0003-3875-2307
Fabiano Bezerra MenegidioNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Valquíria Campos AlencarNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Rafael S GonçalvesNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Juliana de Fátima Santos SilvaNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Renata Ozelami Vilas BoasNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Yara Natércia Lima Faustino de MariaNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Daniela Leite JabesNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.ORCID 0000-0001-7297-0784
Regina Costa de OliveiraNúcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Mogi das Cruzes, São Paulo, Brazil.
Luiz R NunesCentro de Ciências Naturais e Humanas, Universidade Federal do ABC (UFABC), São Bernardo do Campo, São Paulo, Brazil.ORCID 0000-0001-9619-269X
Universidade de Mogi das Cruzes · BRUniversidade Federal do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genus Paracoccidioides consists of thermodymorphic fungi responsible for Paracoccidioidomycosis (PCM), a systemic mycosis that has been registered to affect ~10 million people in Latin America. Biogeographical data subdivided the genus Paracoccidioides in five divergent subgroups, which have been recently classified as different species. Genomic sequencing of five Paracoccidioides isolates, representing each of these subgroups/species provided an important framework for the development of post-genomic studies with these fungi. However, functional annotations of these genomes have not been submitted to manual curation and, as a result, ~60-90% of the Paracoccidioides protein-coding genes (depending on isolate/annotation) are currently described as responsible for hypothetical proteins, without any further functional/structural description. PRINCIPAL

findingsThe present work reviews the functional assignment of Paracoccidioides genes, reducing the number of hypothetical proteins to ~25-28%. These results were compiled in a relational database called ParaDB, dedicated to the main representatives of Paracoccidioides spp. ParaDB can be accessed through a friendly graphical interface, which offers search tools based on keywords or protein/DNA sequences. All data contained in ParaDB can be partially or completely downloaded through spreadsheet, multi-fasta and GFF3-formatted files, which can be subsequently used in a variety of downstream functional analyses. Moreover, the entire ParaDB environment has been configured in a Docker service, which has been submitted to the GitHub repository, ensuring long-term data availability to researchers. This service can be downloaded and used to perform fully functional local installations of the database in alternative computing ecosystems, allowing users to conduct their data mining and analyses in a personal and stable working environment.

conclusionsThese new annotations greatly reduce the number of genes identified solely as hypothetical proteins and are integrated into a dedicated database, providing resources to assist researchers in this field to conduct post-genomic studies with this group of human pathogenic fungi.

Indexed as

Databases, GeneticMolecular Sequence AnnotationAmino Acid SequenceBase SequenceComputers, MolecularEcosystemFungal ProteinsGenome, FungalHumansLatin AmericaParacoccidioidesParacoccidioidomycosisResearchFungal Proteins

Identifiers

PMID31306428
PMCPMC6658007
OpenAlexW2962557703

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.