Evidence map›Paper›PMID 40584171›Full record

ReviewFrontiers in cellular and infection microbiology2025

Emerging RNA-centric technologies to probe RNA-protein interactions: importance in decoding the life cycle of positive sense single strand RNA viruses and antiviral discovery.

Sreemoyee Ghosh, Shivam Kumar, Rohit Verma, Shabnam Ansari, Samrat Chatterjee, Milan Surjit

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sreemoyee Ghosh *Virology Laboratory, Centre for Virus Research, Therapeutics and Vaccines, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Shivam Kumar *Complex Analysis Group, Computational and Mathematical Biology Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Rohit VermaVirology Laboratory, Centre for Virus Research, Therapeutics and Vaccines, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Shabnam AnsariVirology Laboratory, Centre for Virus Research, Therapeutics and Vaccines, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Samrat ChatterjeeComplex Analysis Group, Computational and Mathematical Biology Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Milan SurjitVirology Laboratory, Centre for Virus Research, Therapeutics and Vaccines, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positive sense single strand RNA (+ssRNA) viruses are one of the evolutionary successful organisms and many of them pose a significant threat to human health. Diseases caused by +ssRNA viruses such as COVID-19, Flu and acute viral hepatitis are major public health concern worldwide. Therefore, a lot of research is focused at decoding the life cycle of +ssRNA viruses and develop specific antiviral therapeutics against them. Interaction of the viral RNA with virus-encoded proteins and host proteins drives the lifecycle and pathogenesis of +ssRNA viruses. Recent developments in computational and high-throughput omics-based experimental technologies offer the sensitivity and specificity for molecular characterization of these RNA-protein complexes. These are promising tools to revolutionize the field of +ssRNA virus research and pave the way for antiviral discovery. This review summarizes the current scientific resources available to characterize the RNA-protein interactome of +ssRNA viruses and provides an overview of the drug discovery pipeline for developing antivirals against pathogenic +ssRNA viruses.

Indexed as

Antiviral AgentsPositive-Strand RNA VirusesRNA-Binding ProteinsRNA, ViralViral ProteinsDrug DiscoveryHost-Pathogen InteractionsHumansSARS-CoV-2Antiviral AgentsRNA-Binding ProteinsRNA, ViralViral Proteinspositive strand RNA virusesRaPID assayRAP-MSRNA binding proteinRNA-protein interactions

Identifiers

PMID40584171
PMCPMC12204112

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.