Structure-based drug discovery targeting fmhA in Staphylococcus warneri using extracts of Calliandra harrisii : an integrated ethnobotanical and in silico approach

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Authors: Naba Ali, Muhammad Naveed, Muhammad Waseem, Muhammad Nouman Majeed, Mengue Ngadena Yolande Sandrine, Abeer S. Aloufi, Ashwag Shami, Maher S. Alwethaynani
Cited by: 2
References: 49

Abstract

Abstract Staphylococcus warneri is a Gram-positive bacterium increasingly associated with urinary tract and skin infections and shows emerging multidrug resistance. In this study, S. warneri was cultured, and the virulence-associated fmhA gene was amplified, sequenced, and submitted to GenBank, representing the first reported molecular characterization of fmhA in this species. An ethnobotanical approach guided the selection of Calliandra harrisii for antimicrobial evaluation. Methanolic Soxhlet extraction followed by GC-MS analysis identified multiple bioactive phytochemicals. The three-dimensional structure of the Aminoacyl-transferase FemA ( fmhA ) protein was modeled and validated, showing acceptable structural quality. Selected phytochemicals were screened using ADME criteria, molecular docking, and molecular dynamics simulations. Among them, spiro[1,3-dioxolane-2,2′-[6,7] diazabicyclo[3.2.2] non-6-ene] demonstrated favorable binding affinity, structural stability during 100 ns simulations, and energetically favorable MM/GBSA and MM/PBSA profiles. Density functional theory analysis revealed a moderate HOMO–LUMO gap, supporting balanced chemical reactivity and stability. Pharmacophore modeling and in silico toxicity prediction further suggested acceptable drug-likeness and low oral toxicity. Collectively, this integrated ethnobotanical and in silico framework identifies C. harrisii as a promising source of antibacterial agents and highlights spiro[1,3-dioxolane-2,2′-[6,7]diazabicyclo[3.2.2] non-6-ene] as a potential lead compound targeting fmhA in S. warneri . Experimental validation is warranted to confirm its therapeutic potential.

Fields of Study & Subjects

Antimicrobial Resistance in Staphylococcus Computational Drug Discovery Methods Biochemical and Structural Characterization

Publication details

Journal / source
Zeitschrift für Naturforschung C
Publisher
Walter de Gruyter GmbH
Volume
81
Issue
9-10
Pages
665–689
Publication date
26 February 2026
Language
EN