A Novel cascaded-deep learning classifier for diagnosis of Covid19 and pneumonia disease in chest X-Ray

Abstract

Breast cancer is one of the most frequent female cancer. The currently available therapeutics are induces cancer cell death and also developing side effects in healthy cells. To overcome the chemotherapeutic challenges, plant-based phytochemicals and nutraceuticals are consist efficient anticancer activity. Naringin is one of the plant derived flavonoids, naturally present in citrus fruits with anticancer activity. In this present study, we analyze the frontier molecular orbital (HOMO-LUMO) for chemical potential and stability of molecules and also the molecular docking studies of naringin to find the binding efficiency of ligand and breast cancer marker proteins. The 3D structure of proteins is retrieved from the RCSB protein data bank and the tool autodock vina helps in molecular docking studies. Among the seven target proteins, PR have efficient binding energy (-9.3 Kcal/mol), which confirms the potential to target breast cancer.