In Silico ADMET Analysis of Turmeric Compounds for Drug Likeness

Abstract

Turmeric, a well-known natural remedy, has garnered attention for its potential therapeutic properties. In this study, we conducted an In silico Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) analysis to assess the drug likeness of three prominent turmeric compounds: curcumin, demethoxycurcumin, and bisdemethoxycurcumin. Utilizing advanced ADMET prediction tools, we evaluated their physicochemical properties, pharmacokinetics, and safety profiles.

Our results indicate that these turmeric compounds exhibit favorable characteristics, including optimal molecular weight, lipophilicity, and solubility. The in silico predictions for absorption, distribution, metabolism, and toxicity suggest a promising potential for drug development. Compliance with established drug-likeness criteria, such as Lipinski's Rule of Five, Ghose Filter, Veber Rule, and Muegge Rule, further supports the viability of these compounds for further investigation.

This study contributes valuable insights into the drug-likeness of turmeric compounds, offering a foundation for subsequent experimental and preclinical studies. The findings underscore the potential of curcumin, demethoxycurcumin, and bisdemethoxycurcumin as candidates for drug development, opening avenues for harnessing the therapeutic benefits of turmeric in modern medicine.