Anticancer Effects of Withanolides: In Silico Prediction of Pharmacological Properties.

Abstract

Withanolides are a class of naturally occurring C-28 ergostane steroidal lactones with an abundance of biological activities, and their members are promising candidates for antineoplastic drug development. The ADMET properties of withanolides are still largely unknown, and in silico predictions can play a crucial role highlighting these characteristics for drug development, shortening time and resources spent on the development of a drug lead. In this work, ADMET properties of promising antitumoral withanolides were assessed. Each chemical structure was submitted to the prediction tools: SwissADME, pkCSM-pharmacokinetics, admetSAR v2.0, and Molinspiration Cheminformatics. The results indicate a good gastrointestinal absorption rate, inability to cross the blood-brain barrier, CYP3A4 metabolization, without inhibition of other P450 cytochromes, high interaction with nuclear receptors, and a low toxicity. It was also predicted for the inhibition of pharmacokinetics transporters and some ecotoxicity. This demonstrates a viability for oral drug development, with low probabilities of side effects.