Evidence map›Paper›PMID 37982624›Full record

ArticleJournal of virology2023

Metal-binding proteins and proteases in RNA viruses: unravelling functional diversity and expanding therapeutic horizons.

Himisha Dixit, Mahesh Kulharia, Shailender Kumar Verma

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2023. 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
0.3field-weighted citation impact, top 42% 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, 2 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

3 authors at 2 institutions in 1 country.

Himisha DixitCentre for Computational Biology & Bioinformatics, Central University of Himachal Pradesh, Kangra, India.ORCID 0000-0002-2488-9858
Mahesh KulhariaCentre for Computational Biology & Bioinformatics, Central University of Himachal Pradesh, Kangra, India.
Shailender Kumar VermaDepartment of Environmental Studies, University of Delhi, Delhi, India.ORCID 0000-0002-4192-933X
Central University of Himachal Pradesh · INUniversity of Delhi · IN

Funding

Indian Council of Medical Research (ICMR) ICMR: BMI/11(77)/2020
6 · The paper itself

Abstract

importanceMetal-binding proteins are pivotal components with diverse functions in organisms, including viruses. Despite their significance, many metalloproteins in viruses remain uncharacterized, posing challenges to understanding viral systems. This study addresses this knowledge gap by identifying and analyzing metal-binding proteins and proteases in RNA viruses. The findings emphasize the prevalence of these proteins as essential functional classes within viruses and shed light on the role of metal ions and metalloproteins in viral replication and pathogenesis. Moreover, this research serves as a crucial foundation for further investigations in this field, offering the potential for developing innovative antiviral strategies. Additionally, the study enhances our understanding of the distribution and evolutionary patterns of metal-binding proteases in major human viruses. Continually exploring metal-binding proteomes across diverse viruses will deepen our knowledge of metal-dependent biological processes and provide valuable insights for combating viral infections, including respiratory viruses and other life-threatening diseases.

Indexed as

Carrier ProteinsEndopeptidasesMetalsRNA VirusesHumansProteomeVirus ReplicationCarrier ProteinsEndopeptidasesMetalsProteomebioinformaticsmetal-binding proteasesmetalloproteinsRNA virusesviral functional proteinszinc ion

Identifiers

PMID37982624
PMCPMC10734521
OpenAlexW4388825924

What OpenQuestion holds

Textmetadata
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.