.

OBJECTIVES

kinase is an essential therapeutic target in melanoma and other types of tumors. Because of its resistance to known inhibitors and the adverse effects of some identified inhibitors, investigation of new potent inhibitors is necessary.

METHODS

In the present work, in silico strategies such as molecular docking simulation, pharmacokinetic evaluation, and density functional theory (DFT) computations were used to identify potential inhibitors from a set of 72 anticancer compounds in the PubChem database.

RESULTS

Five top-ranked molecules (12, 15, 30, 31, and 35) with excellent docking scores (MolDock score ≥90 kcal mol, Rerank score ≥60 kcal mol) were selected. Several potential binding interactions were discovered between the molecules and . The formation of H-bonds and hydrophobic interactions with essential residues of suggested the high stability of these complexes. The selected compounds had excellent pharmacological properties according to the drug likeness rules (bioavailability) and pharmacokinetic properties. Similarly, the energy for the frontier molecular orbitals, such as the HOMO, LUMO, energy gap, and other reactivity parameters, was computed with DFT. The frontier molecular orbital surfaces and electrostatic potentials were investigated to demonstrate the charge-density distributions potentially associated with anticancer activity.

CONCLUSION

The identified compounds were found to be potent hit compounds for inhibition with superior pharmacokinetic properties; therefore, they may be promising cancer drug candidates.