Evidence map›Paper›PMID 40638564›Full record

ArticlePloS one2025

Exploration of effective pharmacological inhibitors for NS5 protein through computational approach: A strategy to combat the neglected Kyasanur forest disease virus.

Sharanappa Achappa, Nayef Abdulaziz Aldabaan, Mohammed Alasmary, Ibrahim Ahmed Shaikh, Mater H Mahnashi, Shivalingsarj V Desai, Uday M Muddapur, Aejaz Abdullatif Khan, Basheerahmed Abdulaziz Mannasaheb

Abstract read
In one paragraph

Article in PloS one, 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
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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.

Sharanappa AchappaDepartment of Biotechnology, KLE Technological University, Hubballi, Karnataka, India.
Nayef Abdulaziz AldabaanDepartment of Pharmacology, College of Pharmacy, Najran University, Najran, Saudi Arabia.
Mohammed AlasmaryDepartment of Medicine, College of Medicine, Najran University, Najran, Saudi Arabia.
Ibrahim Ahmed ShaikhDepartment of Pharmacology, College of Pharmacy, Najran University, Najran, Saudi Arabia.ORCID https://orcid.org/0000-0001-9812-2628
Mater H MahnashiDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Shivalingsarj V DesaiDepartment of Biotechnology, KLE Technological University, Hubballi, Karnataka, India.ORCID https://orcid.org/0000-0003-2372-838X
Uday M MuddapurDepartment of Biotechnology, KLE Technological University, Hubballi, Karnataka, India.ORCID https://orcid.org/0000-0003-3463-1989
Aejaz Abdullatif KhanDepartment of General Science, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.
Basheerahmed Abdulaziz MannasahebDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kyasanur Forest Disease Virus (KFDV) poses a significant public health threat due to the limited efficacy of existing vaccines, necessitating the development of effective antiviral therapeutics. The nonstructural protein 5 (NS5), essential for viral RNA synthesis and methylation, serves as a promising drug target. This study employs computational approaches to identify and evaluate potential NS5 inhibitors that may contribute to the development of antiviral compounds against KFDV. The 3D structure of NS5 was predicted using Robetta, SwissModel, and I-TASSER, with the Robetta model (ERRAT score: 96.40) selected for energy minimization. The globally minimized structure, obtained at 49.58 ns, had a potential energy of -416966.82 kcal/mol and was used for further studies. Active site residues were identified using template-based and structure-based methods (COACH-D, CASTp, PrankWeb) and were located within polymerase motif (A-G) of NS5 protein (residues 273-903 aa), which are essential for polymerase function, RNA synthesis, and viral replication. A total of 1523 compounds were identified using de novo, template-based design, pharmacophore modeling, and ligand screening. Virtual screening with PyRx 0.8 yielded 34 promising compounds, of which 11 were selected based on molecular docking (AutoDock 4.0) with binding energies of -8.86 kcal/mol (FDA-approved dasabuvir -L1), -8.28 kcal/mol (CNPO331352.1-L2), -7.94 kcal/mol (ZINC00103114410- L3), and -7.61 kcal/mol (CNPO202263.1-L4). MD simulations in triplicates under physiological conditions confirmed stability. with MM-GBSA binding free energy values of -52.28 ± 2.91 kcal/mol (NS5-Dasabuvur L1complex), -46.82 ± 4.31 kcal/mol (NS5-L2 complex), -50.72 ± 6.36 kcal/mol (NS5-L3 complex), and -57.03 ± 4.31 kcal/mol (NS5-L4 complex). The computational analysis suggests that compounds L2 and L4 have strong binding affinities comparable to dasabuvir (L1), indicating their potential as inhibitors of the KFDV NS5 protein. Further validation through in vitro assays would complement these in silico findings. These results provide a foundation for future drug development against KFDV, emphasizing the need for continued exploration of antiviral therapeutics.

Indexed as

Antiviral AgentsEncephalitis Viruses, Tick-BorneKyasanur Forest DiseaseViral Nonstructural ProteinsHumansMolecular Docking SimulationMolecular Dynamics SimulationAntiviral AgentsViral Nonstructural Proteins

Identifiers

PMID40638564
PMCPMC12244486

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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.