Evidence map›Paper›PMID 39455591›Full record

ArticleScientific reports2024

Structural and free energy landscape analysis for the discovery of antiviral compounds targeting the cap-binding domain of influenza polymerase PB2.

Amr S Abouzied, Saad Alqarni, Kareem M Younes, Sanad M Alanazi, Dana M Alrsheed, Rawabi K Alhathal, Bader Huwaimel, Akram M Elkashlan

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  12. Synthesis, characterization, andFrontiers in chemistry · 2026
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  17. Design, Synthesis,ACS omega · 2025
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  20. Genetic mutations disrupt the coordinated mode of tyrosinase's intra-melanosomal domain.Protein science : a publication of the Protein Society · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Amr S AbouziedDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Saad AlqarniDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Kareem M YounesDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Sanad M AlanaziCollege of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Dana M AlrsheedCollege of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Rawabi K AlhathalCollege of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Bader HuwaimelDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, 81442, Hail, Saudi Arabia.
Akram M ElkashlanDepartment of Biochemistry, Faculty of Pharmacy, University of Sadat City, El-Sadat, Egypt. akram.elkashlan@fop.usc.edu.eg.

Funding

University of Hail RG-23 204
6 · The paper itself

Abstract

Influenza poses a significant threat to global health, with the ability to cause severe epidemics and pandemics. The polymerase basic protein 2 (PB2) of the influenza virus plays a crucial role in the viral replication process, making the CAP-binding domain of PB2 an attractive target for antiviral drug development. This study aimed to identify and evaluate potential inhibitors of the influenza polymerase PB2 CAP-binding domain using computational drug discovery methods. We employed a comprehensive computational approach involving virtual screening, molecular docking, and 500 ns molecular dynamics (MD) simulations. Compounds were selected from the Diverse lib database and assessed for their binding affinity and stability in interaction with the PB2 CAP-binding domain. The study utilized the generalized amber force field (GAFF) for MD simulations to further evaluate the dynamic behaviour and stability of the interactions. Among the screened compounds, compounds 1, 3, and 4 showed promising binding affinities. Compound 4 demonstrated the highest binding stability and the most favourable free energy profile, indicating strong and consistent interaction with the target domain. Compound 3 displayed moderate stability with dynamic conformational changes, while Compound 1 maintained robust interactions throughout the simulations. Comparative analyses of these compounds against a control compound highlighted their potential efficacy. Compound 4 emerged as the most promising inhibitor, with substantial stability and strong binding affinity to the PB2 CAP-binding domain. These findings suggest that compound 4, along with compounds 1 and 3, holds the potential for further development into effective antiviral agents against influenza. Future studies should focus on experimental validation of these compounds and exploration of resistance mechanisms to enhance their therapeutic utility.

Indexed as

Antiviral AgentsDrug DiscoveryMolecular Docking SimulationMolecular Dynamics SimulationRNA-Dependent RNA PolymeraseViral ProteinsBinding SitesHumansInfluenza, HumanProtein BindingThermodynamicsAntiviral AgentsPB2 protein, influenza virusPB2 protein, Influenzavirus ARNA-Dependent RNA PolymeraseViral ProteinsFree binding energyFree energy landscapeInfluenza virusMolecular dynamics simulationsPB2 CAP-binding domainVirtual screening

Identifiers

PMID39455591
PMCPMC11512052

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.