In-silico identification of novel DDI2 inhibitor in glioblastoma via repurposing FDA approved drugs using molecular docking and MD simulation study

Abstract

Glioblastoma, the most severe form of brain tumor and a leading cause of death within a year of diagnosis, is characterized by excessive protein synthesis and folding in the lumen of the endoplasmic reticulum (ER), leading to increased ER stress in the cells of GBM tissues. To mitigate this stress the cancer cells have intelligently adopted a plethora of response mechanisms and Unfolded Protein Response (UPR) is one of those. To bear with this exhaustive situation cells upregulate a strong protein degradation system in form of 26S proteasome and blocking of proteasomal gene synthesis may be a potential therapeutic action against GBM. Proteasomal gene synthesis is exclusively dependent on the transcription factor Nuclear respiratory factor 1 (NRF1) and its activating enzyme DNA damage inducible 1 homolog 2 (DDI2). Here in this study, we performed molecular docking against DDI2 with the 20 FDA-approved drugs and identified Alvimopan and Levocabastine as the top two compounds with the best binding score along with the standard drug Nelfinavir. MD simulation (100 ns) of these protein-ligand docked complexes reveals that the stability and compactness of Alvimopan are high in comparison with Nelfinavir. Our in-silico (Molecular docking and Molecular dynamics simulation) studies pointed out that Alvimopan may be repurposed as a DDI2 inhibitor and can be used as a potential anticancer agent for the treatment of brain tumors. Communicated by Ramaswamy H. Sarma