Evidence map›Paper›PMID 40142044›Full record

ArticleMolecules (Basel, Switzerland)2025

In Silico Evaluation of Potential Hit Molecules Against Multiple Serotypes of Dengue Virus Envelope Glycoprotein.

Aadhil Haq, Samavath Mallawarachchi, Aiden Anderson, Leily Khaleghi, Lasan Manujitha, Sandun Fernando

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Aadhil HaqDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0001-8335-2121
Samavath MallawarachchiDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-8153-2388
Aiden AndersonDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77840, USA.
Leily KhaleghiDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77840, USA.
Lasan ManujithaDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0009-0002-7477-1679
Sandun FernandoDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-7692-2170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue Fever, a widespread mosquito-borne disease caused by the dengue virus (DENV), poses a major health threat in tropical and subtropical regions worldwide, resulting in millions of infections yearly. Severe cases of dengue fever have a mortality rate of around fifteen percent. Currently, there are no antiviral treatments for this disease and the only FDA-approved vaccine has been known to have adverse effects, especially in children. Thus, there is an urgent need for new therapeutics for Dengue fever. The largest issue with developing an antiviral treatment is that DENV has four serotypes that each differ slightly enough to pose problems with one compound inhibiting all four. This study addresses that challenge to some extent by focusing on in silico screening of potential hits targeting the envelope glycoprotein, which is relatively conserved across these four serotypes. Using pharmacophore screening and in silico evaluation of ligands, we identified compounds which could potentially have high affinity to the envelope glycoprotein for two of the four DENV serotypes. These in silico results were validated experimentally using bio-layer interferometry. These findings lay a foundation for in vitro analysis and hit-to-lead studies, advancing the development of antivirals that can inhibit multiple serotypes of the dengue virus.

Indexed as

Antiviral AgentsDengue VirusViral Envelope ProteinsComputer SimulationDengueHumansLigandsSerogroupAntiviral AgentsLigandsViral Envelope Proteinsantiviralcomputational drug discoverydengue virusenvelope protein inhibitorserotypes

Identifiers

PMID40142044
PMCPMC11944462

What OpenQuestion holds

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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.