A computational study to identify Sesamol derivatives as NRF2 activator for protection against drug-induced liver injury (DILI)

Ajay Mili, Sumit Birangal, Krishnadas Nandakumar, Richard Lobo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Drug-induced liver injury can be caused by any drugs, their metabolites, or natural products due to the inefficient functioning of drug-metabolizing enzymes, resulting in reactive oxygen species generation and leading to oxidative stress-induced cell death. For protection against oxidative stress, our cell has various defense mechanisms. One of the mechanisms is NRF2 pathway, when activated, protects the cell against oxidative stress. Natural antioxidants such as Sesamol have reported pharmacological activity (hepatoprotective & cardioprotective) and signaling pathways (NRF2 & CREM) altering potential. A Computational analysis was done using molecular docking, IFD, ADMET, MM-GBSA, and Molecular dynamic simulation of the Schrödinger suite. A total of 63,345 Sesamol derivatives were downloaded for the PubChem database. The protein structure of KEAP1-NRF2 (PDB: 4L7D) was downloaded from the RCSB protein database. The molecular docking technique was used to screen compounds that can form an interaction similar to the co-crystalized ligand (1VX). Based on MM-GBSA, docking score, and interactions, ten compounds were selected for ADMET profiling and IFD. After IFD, five compounds (66867225, 46148111, 12444939, 123892179, & 94817569) were selected for molecular dynamics simulation (MDS). Protein–ligand complex stability was assessed during MDS. The selected compounds (66867225, 46148111, 12444939, 123892179, & 94817569) complex with KEAP1 protein shows good stability and bond retentions. In our study, we observed that the selected compounds show good interaction, PCA, R g, binding free energy, and ADMET profile. We can conclude that the selected compounds can act as NRF2 activators, which should be validated using proper in-vivo/in-vitro models. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)1709-1731
Number of pages23
JournalMolecular Diversity
Volume28
Issue number3
DOIs
Publication statusAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Catalysis
  • Information Systems
  • Molecular Biology
  • Drug Discovery
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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