In silico predictions on the possible mechanism of action of selected bioactive compounds against breast cancer.

ABSTRACT:

Abstract

Breast cancer is one of the leading causes of death among women. We employed in silico model to predict the mechanism of actions of selected novel compounds reported against breast cancer using ADMET profiling, drug likeness and molecular docking analyses. The selected compounds were andrographolide (AGP), dipalmitoylphosphatidic acid (DPA), 3-(4-Bromo phenylazo)-2,4-pentanedione (BPP), atorvastatin (ATS), benzylserine (BZS) and 3β,7β,25-trihydroxycucurbita-5,23(E)-dien-19-al (TCD). These compounds largely conform to ADMETlab and Lipinki's rule of drug likeness criteria in addition to their lesser hepatotoxic and mutagenic effects. Docking studies revealed a strong affinity of AGP versus NF-kB (- 6.8 kcal/mol), DPA versus Cutlike-homeobox (- 5.1 kcal/mol), BPP versu

SUBMITTER: Muhammad A 

PROVIDER: S-EPMC7652978 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature