Evidence map›Paper›PMID 33953878›Full record

ArticleVeterinary research forum : an international quarterly journal2021

Computational study of zebrafish immune-targeted microarray data for prediction of preventive drug candidates.

Abdolvahab Ebrahimpour Gorji, Zahra Roudbari, Fatemeh Ebrahimpour Gorji, Balal Sadeghi

Open access · greenAbstract read
In one paragraph

Article in Veterinary research forum : an international quarterly journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Abdolvahab Ebrahimpour GorjiDepartment of Fisheries, Faculty of Animal Sciences and Fisheries, Sari Agricultural and Natural Resources University, Sari, Iran.
Zahra RoudbariDepartment of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft, Iran.
Fatemeh Ebrahimpour GorjiDepartment of Cell and Molecular Biology, Faculty of Science, University of Andishesazan, Neka, Iran.
Balal SadeghiDepartment of Food Hygiene and Public Health, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran.
Sari Agricultural Sciences and Natural Resources University · IRShahid Bahonar University of Kerman · IRUniversity of Jiroft · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viral hemorrhagic septicemia virus (VHSV) is a rhabdovirus reported to cause economic loss in fish farms. Because of the lack of adequate preventative treatments, the identification of multipath genes involved in VHS infection might be an alternative to explore the possibility of using drugs for the seasonal prevention of this fish disease. We propose labeling a category of drug molecules by further classification and interpretation of the Drug Gene Interaction Database using gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment scores. The study investigated disease networks of up-and down-regulated genes to find those with high interaction as substantial genes in pathways among the different disease networks. We prioritized these genes based on their relationship to those associated with VHS infection in the context of human protein-protein interaction networks and disease pathways. Among the 29 genes as potential drug targets, nine were selected as promising druggable genes (

Indexed as

Gene ontologyNovel druggable genesPathwaysSignificant genes in pathwaysViral hemorrhagic septicemia virus

Identifiers

PMID33953878
PMCPMC8094140
OpenAlexW3154727685

What OpenQuestion holds

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LicenceCC BY-NC
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.