Evidence map›Paper›PMID 40520959›Full record

ArticleIn silico pharmacology2025

Repurposing of approved drugs towards Nipah virus treatment: an in silico docking, molecular dynamics simulation and a MM/GBSA approach.

Madushmita Hatimuria, Jyoti Vishwakarma, Dineshbabu Takkella, C Nikesh Chandran, Plabana Phukan, Krishna Gavvala, Ashok Pabbathi

Abstract read
In one paragraph

Article in In silico pharmacology, 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. Proteome conserved multi-epitope-based vaccine construct against Nipah virus.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    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

7 authors.

Madushmita Hatimuria *Department of Chemistry, School of Chemical Sciences, Central University of Karnataka, Kadaganchi, Karnataka 585367 India.
Jyoti Vishwakarma *Department of Chemistry, Indian Institute of Technology-Hyderabad, Hyderabad, Telangana 502285 India.
Dineshbabu TakkellaDepartment of Chemistry, Indian Institute of Technology-Hyderabad, Hyderabad, Telangana 502285 India.
C Nikesh ChandranDepartment of Chemistry, School of Chemical Sciences, Central University of Karnataka, Kadaganchi, Karnataka 585367 India.
Plabana PhukanDepartment of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl, Mizoram 796004 India.
Krishna GavvalaDepartment of Chemistry, Indian Institute of Technology-Hyderabad, Hyderabad, Telangana 502285 India.
Ashok PabbathiDepartment of Chemistry, School of Chemical Sciences, Central University of Karnataka, Kadaganchi, Karnataka 585367 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Nipah virus (NiV) is an emerging zoonotic pathogen that causes severe febrile encephalitis, transmitted from infected animals to humans. Since its initial outbreak in Malaysia, subsequent epidemics have occurred across Asia, including India, with mortality rates ranging from 40 to 75%. There are no approved vaccines, or antiviral treatments currently exist for NiV infections. In this study, molecular docking was conducted using 42 FDA-approved drugs targeting the Nipah virus glycoprotein-human receptor complex. Binding affinities and 2D interaction profiles were analyzed, revealing five promising candidates: Saquinavir, Nelfinavir, Simeprevir, Paritaprevir, and Tipranavir. These compounds exhibited strong binding affinities, ranging from - 9.8 to -11.1 kcal/mol. These five top potential drugs were subjected to molecular dynamics (MD) simulations for 200 ns to further assess their stability, flexibility and compactness. MM/GBSA analysis was employed to estimate their binding free energies. The MD simulations confirmed their favourable binding properties, demonstrating significant stability and minimal fluctuation during the stability. Subsequently, drug-likeness evaluations were performed to assess key pharmacokinetic parameters, including absorption, distribution, metabolism, excretion, and toxicity (ADMET), with an emphasis on toxicity prediction and drug-like properties. The results revealed stable interactions with minimal structural fluctuations, supporting their potential as repurposed therapeutics for Nipah virus infection. To evaluate their efficacy and contribute to the development of effective antiviral treatments against NiV, further in vivo testing in animal models and human trials is recommended. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00371-z.

Indexed as

ADMETComputer aided drug design (CADD)MM/GBSAMolecular dockingMolecular dynamics simulationNipah virusVirtual screening

Identifiers

PMID40520959
PMCPMC12162443

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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.