Abstract
Homalomena occulta (H. occulta) essential oil was obtained via steam distillation, and its chemical composition was characterised using gas chromatography-mass spectrometry (GC-MS) analysis. A total of 43 compounds, predominantly oxygenated monoterpenes with linalool (40.35%), terpinen-4-ol (8.54%), and a-terpineol (3.05%) as the most abundant components, were identified. These compounds were evaluated in silico through molecular docking simulations using MOE 2022.10 software against three antimicrobial-related targets associated with pathogenic strains, namely Streptococcus pyogenes (P0C0C7), Streptococcus pneumoniae (Q8DQF8), and Candida albicans (4ESW). Several promising candidates with strong predicted inhibitory potentials were identified and ranked for each target as follows: P0C0C7: 40 (–11.2 kcal.mol–1) > 27 (–11.0 kcal.mol–1) > 4 (–10.9 kcal.mol–1) » 36 (–10.9 kcal.mol–1) > 29 (–10.4 kcal.mol–1); Q8DQF8: 27 (–9.6 kcal.mol–1) > 29 (–9.4 kcal.mol–1) > 25 (–9.3 kcal.mol–1) ≈ 41 (–9.3 kcal.mol–1) > 36 (–9.2 kcal.mol–1); 4ESW 42 (–11.3 kcal.mol–1) > 38 (–10.8 kcal.mol–1) > 21 (–10.7 kcal.mol–1) > 32 (–10.3 kcal.mol–1) » 41 (–10.3 kcal.mol–1). A drug-likeness study based on Lipinski’s rule of five was generally favourable (MW < 500 Da for 43/43 compounds; logP < 5 for 41/43 compounds). The ADMET prediction results suggested good absorption and permeability, along with a low risk of major transporter- and metabolism-related issues. Overall, these findings provide a strong in silico basis, supporting further experimental antimicrobial testing for H. occulta essential oil.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright (c) 2026 Array