Aldo-keto reductase 1C3 (AKR1C3) is a monomeric enzyme expressed in steroidogenic tissues such as the testis, prostate, uterus, and breast. Overexpression of this AKR1C3 is associated with vast cancers such as breast, colon, colorectal, endometrial, prostate, and acute myeloid leukaemia. Regarding the treatment of castration-resistant prostate cancer, breast cancer, and acute myeloid leukaemia, AKR1C3 inhibitors may offer clear advantages over currently available therapies. Thus, discovering novel and specific AKR1C3 inhibitors is a promising way to obstruct drug resistance in cancer. Derivatives of alpha-tocopherol and alpha-tocopheroids were selected as possible therapeutics to act as AKR1C3 inhibitors. The precise targets of several ligands were determined using computational screening methods. The molecular structure of AKR1C3 and its ligands were used as the foundation for in silico predictions, modelling, and dynamic simulations. Compounds were selected based on their biological properties and filtered according to their ADMET and drug-likeness properties. Additionally, simulations of all-atom molecular dynamics on AKR1C3 with the cleared compounds revealed stability over the simulated trajectories of 100 ns. When seen collectively, alpha-tocospiro A may be considered prospective AKR1C3 inhibitors for creating anticancer therapies.Communicated by Ramaswamy H. Sarma.
Keywords: ADMET properties; Aldo-keto reductase 1C3; Lipinski’s rule of five; drug discovery; molecular docking; molecular dynamics.