Dengue is a serious disease which has become a global health burden in the last decade. Currently, there are no approved vaccines or antiviral therapies to combat the disease. The increasing spread and severity of the dengue virus infection emphasizes the importance of drug discovery strategies that could efficiently and cost-effectively identify antiviral drug leads for development into potent drugs. To this effect, several computational approaches were applied in this work. Initially molecular docking studies of reference ligands to the DEN2 NS2B/NS3 serine protease were carried out. These reference ligands consist of reported competitive inhibitors extracted from Boesenbergia rotunda (i.e., 4-hydroxypanduratin A and panduratin A) and three other synthesized panduratin A derivative compounds (i.e., 246DA, 2446DA and 20H46DA). The design of new lead inhibitors was carried out in two stages. In the first stage, the enzyme complexed to the reference ligands was minimized and their complexation energies (i.e., sum of interaction energy and binding energy) were computed. New compounds as potential dengue inhibitors were then designed by putting various substituents successively on the benzyl ring A of the reference molecule. These substituted benzyl compounds were then computed for their enzyme-ligand complexation energies. New enzyme-ligand complexes, exhibiting the lowest complexation energies and closest to the computed energy for the reference compounds, were then chosen for the next stage manipulation and design, which involved substituting positions 4 and 5 of the benzyl ring A (positions 3 and 4 for 2446DA) with various substituents.
Photodynamic therapy is a relatively new treatment method for cancer which utilizes a combination of oxygen, a photosensitizer and light to generate reactive singlet oxygen that eradicates tumors via direct cell-killing, vasculature damage and engagement of the immune system. Most of photosensitizers that are in clinical and pre-clinical assessments, or those that are already approved for clinical use, are mainly based on cyclic tetrapyrroles. In an attempt to discover new effective photosensitizers, we report the use of the quantitative structure-activity relationship (QSAR) method to develop a model that could correlate the structural features of cyclic tetrapyrrole-based compounds with their photodynamic therapy (PDT) activity. In this study, a set of 36 porphyrin derivatives was used in the model development where 24 of these compounds were in the training set and the remaining 12 compounds were in the test set. The development of the QSAR model involved the use of the multiple linear regression analysis (MLRA) method. Based on the method, r(2) value, r(2) (CV) value and r(2) prediction value of 0.87, 0.71 and 0.70 were obtained. The QSAR model was also employed to predict the experimental compounds in an external test set. This external test set comprises 20 porphyrin-based compounds with experimental IC(50) values ranging from 0.39 μM to 7.04 μM. Thus the model showed good correlative and predictive ability, with a predictive correlation coefficient (r(2) prediction for external test set) of 0.52. The developed QSAR model was used to discover some compounds as new lead photosensitizers from this external test set.
Citrus hystrix essential oil (CHEO) have shown various pharmacological properties including antibacterial activity. This EO also possessed antibacterial effect against foodborne pathogens. There is less information available about the synergy interaction between CHEO and tetracycline, as well as their mechanism of action. Therefore, this study was conducted to evaluate the synergistic effect of CHEO and tetracycline against clinical isolate of Escherichia coli. Antibiofilm, bacteriolytic, and efflux pump inhibitor activities were also performed. The chemical composition of CHEO was analysed using GC-MS. Three major compounds, D-limonene (25.02%), β-pinene (23.37%), and β-sabinene (22.20%) were identified. CHEO exhibited moderate antibacterial activity with MIC value of 250 μg/mL. The combination of CHEO (7.8 μg/mL) and tetracycline (62.5 μg/mL) produced a synergistic effect on E. coli with fractional inhibitory concentration index of 0.5. This mixture inhibited biofilm formation in E. coli. The combination of 7.8 μg/mL CHEO and 62.5 μg/mL tetracycline demonstrated bacteriolytic activity. In addition, the CHEO at 250 μg/mL showed a significant effect in inhibiting efflux pump. D-limonene has a binding free energy value of -20.13 kcal/mol with ompA transmembrane domain of E. coli. This finding indicates that CHEO has a potency to be developed as natural antibacterial against E. coli.