Objective: Cancer is the major worldwide problem. It arises due to uncontrolled growth of cells. In the present study, a series of novel coumarin derivatives were designed and computationally optimized to investigate the interaction between designed ligands and 10 protein data bank (pdb) files of five selected proteins. The objective here was to analyze in silico anticancerous activity of designed ligands to reduce cost and time for getting the novel anticancerous drug with minimum side effects.Methods: Docking studies were performed to find out the maximum interaction between designed ligands and selected five proteins using Schrodinger software Maestro. Capecitabine has been used as reference compound. Structures of selected proteins were downloaded from protein data bank.Results: All the designed ligands showed mild to excellent binding with proteins. Most of the ligands exhibited better interaction compared to reference compound capecitabine with all pdb files. Some of the designed ligands among (1-7) showed excellent docking score with all pdb files (2v5z, 2v60, 2v61) of amine oxidase.
Conclusion:All the designed ligands were docked with 10 pdb files of five different proteins, and it was found that out of seven designed ligand, ligand 4 showed the best binding (docking score −10.139) with pdb 2v5z of protein amine oxidase. Docked ligand cavity of ligand 4 showed important hydrophobic/non-polar residues such as Ile199, Ile316, Trp119, Phe168, Ile198, Cys172, Tyr188, Tyr398, Tyr435, Phe343, Tyr60, Leu328, Leu171, and showed pi-pi interaction with Tyr326. Further wet laboratory studies are continued in our laboratory to confirm and find out efficiency and activity of target compounds.