Human ABCC3 (hABCC3) or multidrug resistance protein 3 (MRP3), third member of the subfamily C of the ABC proteins, is associated with multidrug resistance and treatment failure in acute leukemia. Hence, targeting this protein might be a useful approach to provide more effective drugs to overcome cancer drug resistance.
The present study aimed at predicting the possible ligand binding sites (PBSs) on hABCC3 and examining the possible binding of different chemotherapeutic drugs to this protein.
To predict the PBSs on the hABCC3 transporter, a three-dimensional homology model of hABCC3 was generated in the current study based on bovine ABCC1 (bABCC1) using SWISS-MODEL and MODELLER programs, and then a molecular docking was qualified. Finally, binding affinities of 14 ligands including chemotherapeutic and immunosuppressive drugs, in addition to hABCC3 inhibitors, for hABCC3 were evaluated using binding free energies and the corresponding scores. Molecular docking was performed using AutoDock. Furthermore, Chimera, LigPlot, and Swiss PDB viewer (SPDBV) were used for interactive visualization and analysis of molecular structures.
The two PBSs on hABCC3 were predicted using the blind docking method. Docking results in both PBSs showed that vincristine, doxorubicin, and daunorubicin had the highest binding affinities, respectively, with vincristine having the highest docking score.
In the current study, three drugs with the highest affinity for hABCC3 were introduced in order to take a step toward the possible hABCC3 targeting in drug-resistant acute leukemia. Furthermore, the application of in-silico methods in targeted cancer therapy, especially leukemia treatment, was highlighted.
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