DOI: 10.3390/jof12080573 ISSN: 2309-608X

Integrated Phytochemical Profiling, Spectroscopic Analysis, and Molecular Docking Evaluation of Ethanolic Plant Extracts Against Candida Receptor (1IYK)

Jacob Mathew Philip, Krishnan Mahalakshmi, Helen Mary Abraham, Leena Sankari Sankar

Background: The increasing prevalence of antifungal resistance among Candida albicans isolates necessitates the exploration of alternative antifungal strategies and novel molecular targets. Plant-derived bioactive compounds represent a promising source of antifungal agents; however, their chemical composition and mechanisms of action remain insufficiently characterized. Methods: Ethanolic extracts of Azadirachta indica leaves and Ficus benghalensis aerial roots were subjected to qualitative phytochemical screening, gas chromatography–mass spectrometry (GC–MS), and Fourier transform infrared (FTIR) analysis to characterize their bioactive constituents. Molecular docking studies were performed to evaluate the interaction of selected phytochemicals with C. albicans N-myristoyltransferase (PDB ID: 1IYK), a validated antifungal drug target. Results: Phytochemical screening revealed the presence of alkaloids, carbohydrates, and phenolic compounds in both extracts, while saponins were detected only in A. indica. GC–MS analysis demonstrated greater chemical diversity in A. indica, including fatty acids and phenolic derivatives, compared with F. benghalensis, which was dominated by terpenoids and long-chain hydrocarbons. FTIR analysis confirmed functional groups relevant to protein–ligand interactions. Molecular docking showed favorable binding interactions between several A. indica–derived compounds and N-myristoyltransferase, whereas compounds from F. benghalensis did not exhibit detectable binding under the conditions tested. Conclusions: The integrated phytochemical and in silico analyses provide insight into the antifungal potential of A. indica, suggesting possible interactions between identified phytochemicals and the selected drug target protein. This study highlights the value of combining chemical characterization with target-based computational screening in the rational exploration of plant-derived antifungal agents.

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