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January 1, 2026International Journal of Data Mining Modelling and Management

QSAR-Based Computational Screening and Molecular Docking of Natural Compounds for Drug Discovery against Bacterial Meningitis

Saima Kashif Amna Sethi Samreen Feroz Tasmia Anwar Fatima Faryal Nayab Mubashir Fatima S. Parekh Sabahat Rashid

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Key Points

The aim is to identify natural compounds that inhibit bacteria causing meningitis using computational methods.
Utilized QSAR (Quantitative Structure-Activity Relationship) models for screening compounds.
Performed molecular docking studies to assess binding affinity to bacterial targets.
Analyzed results to identify promising candidates for drug development.
Identified several natural compounds with high potential for antibacterial activity.
Demonstrated effectiveness against specific bacterial strains responsible for meningitis.
Provided insights into structural characteristics important for efficacy.

Implication

QSAR-based analysis identifies effective natural compounds against bacterial meningitis, suggesting new treatment avenues.

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Cite This Study

Kashif et al. (2026) studied this question.

synapsesocial.com/papers/69bb92ae496e729e62980298 https://doi.org/10.1504/ijdmmm.2026.10077075

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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