Metastasis of breast cancer cells to distant sites including lungs, liver, lymph node, brain and many more have substantially affected the overall survival outcome and distant metastasis free survival rate amongst the diseased individuals. Several pre-clinical and clinical studies were carried out to determine the potency of vigorous inhibitors but they extensively deteriorated the patient’s quality of life. Hence, there exists an urgent need to explore potent natural remedy to fight against metastatic breast cancer.
Methods
Ayurvedic medicinal plants documented in literature for their ability to fight against breast cancer was screened and their respective active moieties were evaluated to exert inhibitory effect against MMP9. Drug like efficacy of phytochemicals were determined using Molecular docking, MD Simulation, ADMET and MM-PBSA and were further compared with synthetic analogs i.e. Doxycycline.
Results
Out of 1000 phytochemicals, 12 exerted highest binding affinity (BA) even more than −9.0 kcal/mol that was significantly higher in comparison to Doxycycline which exhibited BA of −7.3 kcal/mol. In comparison to 37 × 30 × 37 Å, 53 × 45 × 66 Å offered best binding site and the highest BA was exhibited by Viscosalactone at LYS104, ASP185, MET338, LEU39, ASN38. During MD Simulation, Viscosalactone-MMP9 complex remained stable for 20 ns and the kinetic, electrostatic and potential energies were observed to be better than Doxycycline. Furthermore, Viscosalactone obtained from Withania somnifera justified the Lipinski’s Rule of 5.
Conclusion
Viscosalactone obtained from W. somnifera may act as promising drug candidate to fight against metastatic breast cancer.
Keywords: MMP9, Phytochemicals, Doxycycline, Molecualr docking, MD-Simulation
Author Biography
Acharya Balkrishna, aPatanjali Herbal Research Department, Patanjali Research Institute, Haridwar,
India
cDepartment of Sanskrit, University of Patanjali, Haridwar,
India
Click on "Archives" to access the full archive of scientific preprints. You may use the categories and the search functionality to find select preprints you're interested in.