| Autor: |
Mallur DJ; Department of Biotechnology, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, India., Lavanya B; Department of Biotechnology, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, India., Temkar SS; Department of Biotechnology, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, India., Arun V; Department of Biotechnology, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, India., Paul BC; Department of Biotechnology, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, India. |
| Abstrakt: |
Estrogen receptor-positive breast cancer represents itself as the most prevalent malignancy among postmenopausal women. One of the promising therapeutic approaches involves the use of Aromatase inhibitors, which competitively bind to Aromatase, reducing estrone and estradiol levels. While current drugs have improved survival rates, they are not without adverse effects. Consequently, this study explores the computational screening of medicinally relevant compounds derived from okra ( Abelmoschus esculentus ) for potential Aromatase inhibition. Molecular docking employing AMDock v1.5.2 was utilized to assess binding affinities with Aromatase (PDB:3EQM). Subsequently, in-depth molecular interactions were examined using Discovery Studio Visualizer v4.5, and the stability of docked complexes was evaluated via molecular dynamics with the GROMACS package, focusing on RMSD, RMSF, H-bond count, SASA, Free energy landscape, Principal Component Analysis and binding affinity assessment. The pharmacokinetic properties of the okra compounds were predicted using admetSAR v2.0. Our findings highlight Quercetin 3-gentiobioside as a standout candidate, demonstrating superior binding affinity (-10 kcal/mol) and an estimated Ki of 46.77 nM compared to letrozole and other okra compounds. Molecular dynamic analysis confirms the stability of Quercetin 3-gentiobioside binding in terms of H-bonds and conformational integrity. In conclusion, our computational investigation identifies Quercetin 3-gentiobioside, along with Quercetin 3-O-rutinoside and Hyperin, as promising candidates for preclinical studies in the pursuit of potential Aromatase inhibitors.Communicated by Ramaswamy H. Sarma. |
