Investigating a Library of Flavonoids as Potential Inhibitors of a Cancer Therapeutic Target MEK2 Using in Silico Methods

The second leading cause of death in the world is cancer. Mitogen-activated protein kinase (MAPK) and extracellular signal-regulated protein kinase (ERK) 1 and 2 (MEK1/2) stand out among the different anticancer therapeutic targets. Many MEK1/2 inhibitors are approved and widely used as anticancer drugs. The class of natural compounds known as flavonoids is well-known for their therapeutic potential. In this study, we focus on discovering novel inhibitors of MEK2 from flavonoids using virtual screening, molecular docking analyses, pharmacokinetic prediction, and molecular dynamics (MD) simulations. A library of drug-like flavonoids containing 1289 chemical compounds prepared in-house was screened against the MEK2 allosteric site using molecular docking. The ten highest-scoring compounds based on docking binding affinity (highest score: -11.3 kcal/mol) were selected for further analysis. Lipinski's rule of five was used to test their drug-likeness, followed by ADMET predictions to study their pharmacokinetic properties. The stability of the best-docked flavonoid complex with MEK2 was examined for a 150 ns MD simulation. The proposed flavonoids are suggested as potential inhibitors of MEK2 and drug candidates for cancer therapy.

Automated summary

This study focuses on exploring the potential of flavonoids as MEK2 inhibitors using virtual screening, molecular docking analyses, pharmacokinetic prediction, and molecular dynamics simulations. Ten highest-scoring compounds were selected from a library of 1289 chemical compounds for further analysis. The drug-likeness and pharmacokinetic properties of these compounds were evaluated, and the stability of the best-docked flavonoid complex with MEK2 was examined using a 150 ns molecular dynamics simulation. These flavonoids are suggested as potential inhibitors of MEK2 and drug candidates for cancer therapy.