Evidence map›Paper›PMID 40854642›Full record

ArticleJournal, genetic engineering & biotechnology2025

Designing siRNAs against non-structural genes of all serotypes of Dengue virus using RNAi technology - A computational investigation.

Md Nur Islam, Israt Jahan Asha, Aninda Kumar Gain, Raihanul Islam, Shipan Das Gupta, Md Murad Hossain, Shuvo Chandra Das, Mohammed Mafizul Islam, Dhirendra Nath Barman

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 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

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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
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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

9 authors.

Md Nur IslamDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh; Centre for Learning in Advanced Bioinformatics (cLAB), Noakhali- 3814, Noakhali, Chattogram, Bangladesh.
Israt Jahan AshaDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Aninda Kumar GainDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Raihanul IslamDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Shipan Das GuptaDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Md Murad HossainDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Shuvo Chandra DasDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Mohammed Mafizul IslamDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh.
Dhirendra Nath BarmanDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali-3814, Noakhali, Bangladesh. Electronic address: dhiren.bge@nstu.edu.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is a viral disease caused by Aedes aegypti and Aedes albopictus mosquitoes, leads to severe health complications, including dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). The disease has intensified in Asian countries such as Bangladesh, India, Myanmar, and Thailand, with regular outbreaks since 2015, partly due to the lack of effective vaccines or treatments against this ferocious virus. Nonstructural (NS) genes of Dengue virus (DENV) are believed to play vital role in viral replication. Targeting the NS genes of existing serotypes of DENV, we aimed to design a potential small interfering RNA (siRNA) that has the capability to silence the NS genes hence, provide a ground strategy for antiviral therapeutics. In this investigation, a comprehensive computational approach encompassing data collection from NCBI database, GC content analysis, conservation prediction across all DENV serotypes, mRNA-siRNA duplex thermodynamic assessment, siRNA efficacy evaluation, molecular modeling and structural refinement, molecular docking were performed. These analyses anticipated three efficient siRNAs (S2, S3 and S11) that could have the capability to silence all the NS protein-coding genes employed by the DENV. Based on additional analysis including molecular dynamic (MD) simulation, principal component analysis (PCA) and free energy landscape (FEL), two siRNAs (S2 and S11) were recommended as potential therapeutics that could effectively degrade viral NS protein-coding genes through the RNAi pathway. However, S2 (Guide: 5'-UGUUUUUCGCCUUUUUCCGUU-3' and Passenger: 5'- CGGAAAAAGGCGAAAAACACG-3') molecule is supposed to be appeared the most promising siRNA compared to S11. This study is the foundational contribution enabling chemically synthesized future antiviral drug discovery for combating DENV, especially in the Asian region where frequent outbreaks are common. Nonetheless, in vivo validation and further evaluations are necessary before these siRNAs can be advanced as molecular therapeutics.

Indexed as

Dengue virusGene silencingMolecular therapeuticsRNAi technologysiRNA

Identifiers

PMID40854642
PMCPMC12240090

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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.