Evidence map›Paper›PMID 41224866›Full record

ArticleScientific reports2025

Machine learning-guided in Silico identification of Na⁺-NQR inhibitors from Berberis vulgaris and Hydrastis Canadensis phytochemicals against Vibrio cholerae.

Leena H Bajrai, Mai M El-Daly, Ibrahim A Al-Zahrani, Amira M Alghamdi, Isra M Alsaady, Vivek Dhar Dwivedi, Esam I Azhar

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Leena H BajraiDepartment of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, 21362, Saudi Arabia. lbajrai@kau.edu.sa.
Mai M El-DalySpecial Infectious Agents Unit - BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21362, Saudi Arabia.
Ibrahim A Al-ZahraniSpecial Infectious Agents Unit - BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21362, Saudi Arabia.
Amira M AlghamdiDepartment of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, 21362, Saudi Arabia.
Isra M AlsaadySpecial Infectious Agents Unit - BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21362, Saudi Arabia.
Vivek Dhar DwivediCenter for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospitals, Saveetha University, Chennai, 605102, India. vivek_bioinformatics@yahoo.com.
Esam I AzharSpecial Infectious Agents Unit - BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21362, Saudi Arabia. eazhar@kau.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholera, a life-threatening diarrheal disease caused by Vibrio cholerae, remains a global health concern. Traditional medicinal plants such as Berberis vulgaris (barberry) and Hydrastis canadensis (goldenseal) have long been used for their antimicrobial properties. This study employed integrated computational approaches to identify potential anti-cholera compounds from these plants by targeting sodium-pumping NADH-ubiquinone oxidoreductase (Na⁺-NQR). Virtual screening identified compounds 122623, 197835, and 638024, along with the control Korormicin, exhibiting favorable binding affinities and hydrogen bonding interactions. Machine learning-based prediction models were further applied to assess functional activity and binding affinity. The study incorporated ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiling and density functional theory (DFT) calculations to evaluate physicochemical properties and electronic characteristics of the compounds. Molecular dynamics (MD) simulations demonstrated stable RMSD values for the ligands, with 122623 exhibiting the lowest RMSD (0.3-0.5 nm), closely resembling the control (0.3-0.4 nm), suggesting stable binding. Principal component analysis (PCA) showed tight conformational clusters for complexes with 122623 and 197835, while free energy landscape (FEL) analysis revealed deep energy minima, supporting complex stability. MM/GBSA calculations showed that 122623 had the lowest binding free energy (-38.71 kcal/mol), followed by 638024 (-35.14 kcal/mol) and 197835 (-30.68 kcal/mol). Per-residue energy decomposition identified key residues (Phe137, Val155, Phe159, Phe160) involved in ligand binding. Network pharmacology analysis predicted additional gene targets for the selected compounds, providing insights into their broader therapeutic relevance. Collectively, compounds 122623, 197835, and 638024 derived from Hydrastis canadensis and Berberis vulgaris demonstrated promising inhibitory interactions with the Na⁺-NQR enzyme, suggesting their potential as anti-cholera agents.

Indexed as

Anti-Bacterial AgentsBerberisEnzyme InhibitorsMachine LearningPhytochemicalsVibrio choleraeLigandsMolecular Docking SimulationMolecular Dynamics SimulationPlant ExtractsAnti-Bacterial AgentsEnzyme InhibitorsLigandsPhytochemicalsPlant ExtractsBerberis vulgarisCholeraDFT analysisHydrastis canadensisMD simulationNa- NQR enzymeNetwork pharmacology

Identifiers

PMID41224866
PMCPMC12612261

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