Evidence map›Paper›PMID 41244686›Full record

ArticleFrontiers in microbiology2025

New dengue virus inhibitors targeting NS3-NS5 interaction identified by

Giulio Nannetti, Beatrice Mercorelli, Alessandro Bazzacco, Nicolò Santi, Marta Celegato, Salvatore Ferla, Mattia Sturlese, Niklaas J Buurma, Andrea Brancale, Arianna Loregian

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Giulio NannettiSwansea University Medical School, Swansea University, Swansea, United Kingdom.
Beatrice MercorelliDepartment of Molecular Medicine, University of Padua, Padua, Italy.
Alessandro BazzaccoDepartment of Molecular Medicine, University of Padua, Padua, Italy.
Nicolò SantiSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, United Kingdom.
Marta CelegatoDepartment of Molecular Medicine, University of Padua, Padua, Italy.
Salvatore FerlaSwansea University Medical School, Swansea University, Swansea, United Kingdom.
Mattia SturleseMolecular Modeling Section, Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Padua, Italy.
Niklaas J BuurmaSchool of Chemistry, Physical Organic Chemistry Centre, Cardiff University, Cardiff, United Kingdom.
Andrea BrancaleSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, United Kingdom.
Arianna LoregianDepartment of Molecular Medicine, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) poses a major public health concern as it is responsible for approximately 100 million human infections annually. Since no antiviral drugs are currently available to treat DENV infection, the development of effective therapeutic strategies is urgently needed. For anti-DENV drug discovery, the interaction between DENV NS3 and NS5 proteins represents an attractive target, as it is essential for viral replication and is highly conserved across all DENV serotypes. In this study, we report two distinct virtual screenings of commercially available drug-like compounds, which were performed to identify inhibitors of the NS3-NS5 interaction. Both screening approaches led to the identification of hit compounds that were able to reduce NS3-NS5 binding

Indexed as

antiviral compoundsdengue virus inhibitorsdissociative inhibitorsflavivirusNS3-NS5 interactionprotein-protein interaction

Identifiers

PMID41244686
PMCPMC12615485

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.