677
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

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

, ORCID Icon &
Pages 2270-2281 | Received 27 Jan 2023, Accepted 11 Apr 2023, Published online: 03 May 2023
 

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

Disclosure statement

Authors declare no conflict of interest

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,074.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.