Evidence map›Paper›PMID 38834897›Full record

ArticleMolecular biotechnology2025

In Silico-Based Identification of Natural Inhibitors from Traditionally Used Medicinal Plants that can Inhibit Dengue Infection.

Md Tarikul Islam, Md Aktaruzzaman, Ahmed Saif, Ayesha Akter, Mashooq Ahmad Bhat, Mirza Mahfuj Hossain, S M Nur Alam, Rifat Rayhan, Saira Rehman, Muhammad Yaseen and 1 more

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Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Food science & nutrition · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

11 authors.

Md Tarikul Islam *Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Aktaruzzaman *Department of Pharmacy, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Ahmed SaifDepartment of Pharmacy, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Ayesha AkterDepartment of Biotechnology and Genetic Engineering, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Mashooq Ahmad BhatDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Mirza Mahfuj HossainDepartment of Computer Science and Engineering, Faculty of Engineering and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
S M Nur AlamDepartment of Chemical Engineering, Faculty of Engineering and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Rifat RayhanDepartment of Biomedical Engineering, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Saira RehmanFaculty of Pharmaceutical Sciences, Pharmacognosy Department, Lahore University of Biological and Applied Sciences, Lahore, Punjab, Pakistan.
Muhammad YaseenInstitute of Chemical Sciences, University of Swat, Charbagh, 19130, Swat, Pakistan. muhammadyaseen.my907@gmail.com.
Md Obayed RaihanDepartment of Pharmaceutical Sciences, College of Health Sciences and Pharmacy, Chicago State University, Chicago, IL, USA. mraihan@csu.edu.ORCID http://orcid.org/0000-0002-0095-5339

Funding

King Saud University RSPD2024R740
6 · The paper itself

Abstract

Dengue fever (DF) is an endemic disease that has become a public health concern around the globe. The NS3 protease-helicase enzyme is an important target for the development of antiviral drugs against DENV (dengue virus) due to its impact on viral replication. Inhibition of the activity of the NS3 protease-helicase enzyme complex significantly inhibits the infection associated with DENV. Unfortunately, there are no scientifically approved antiviral drugs for its prevention. However, this study has been developed to find natural bioactive molecules that can block the activity of the NS3 protease-helicase enzyme complex associated with DENV infection through molecular docking, MM-GBSA (molecular mechanics-generalized born surface area), and molecular dynamics (MD) simulations. Three hundred forty-two (342) compounds selected from twenty traditional medicinal plants were retrieved and screened against the NS3 protease-helicase protein by molecular docking and MM-GBSA studies, where the top six phytochemicals have been identified based on binding affinities. The six compounds were then subjected to pharmacokinetics and toxicity analysis, and we conducted molecular dynamics simulations on three protein-ligand complexes to validate their stability. Through computational analysis, this study revealed the potential of the two selected natural bioactive inhibitors (CID-440015 and CID-7424) as novel anti-dengue agents.

Indexed as

Antiviral AgentsDengueDengue VirusPlants, MedicinalHumansMolecular Docking SimulationMolecular Dynamics SimulationPhytochemicalsProtease InhibitorsSerine EndopeptidasesViral Nonstructural ProteinsViral ProteasesVirus ReplicationAntiviral AgentsNS3 protease, dengue virusPhytochemicalsProtease InhibitorsSerine EndopeptidasesViral Nonstructural ProteinsViral ProteasesDengue fever (DF)MM-GBSAMolecular dockingMolecular dynamics simulationNS3 protease-helicasePharmacokineticsToxicity analysis

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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.