Aug 2026· ChemistryOpen· Vol 15· 0 citations· 104 references
Medicine
TL;DR
This study identifies structurally tractable TQ analogs with improved predicted potency and establishes a robust computational framework for neuroprotective discovery as redox‐modulating agents in ALS.
Abstract
Oxidative stress drives neuronal vulnerability in amyotrophic lateral sclerosis (ALS), making the Keap1–Nrf2 pathway a vital therapeutic target. While thymoquinone (TQ) modulates this axis, its efficacy is limited by low potency and poor drug‐likeness. We utilized an integrated in silico workflow—including validated QSAR modeling (R 2 = 0.68, Q 2 ext = 0.66), ADMET profiling, docking, 200 ns molecular dynamics, and MM–PBSA analysis—to identify improved TQ‐derived Keap1 inhibitors. Screening 64 analogs prioritized three leads (CHEMBL3416163, CHEMBL4636830, and CHEMBL221598) with favorable safety and blood–brain barrier permeability. Docking and dynamics confirmed these analogs form stable interactions with Kelch domain hotspots. MM–PBSA calculations revealed significantly enhanced binding free energies (−75.10 to −93.79 kJ mol−1) compared to parent TQ (−21.05 kJ mol−1), driven primarily by van der Waals and hydrophobic forces. This study identifies structurally tractable TQ analogs with improved predicted potency and establishes a robust computational framework for neuroprotective discovery. The prioritized leads are compelling candidates for in vitro and in vivo validation as redox‐modulating agents in ALS.
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KEAP1 is the key regulator of the NRF2-mediated cytoprotective response and a target for pathologies involving oxidative stress. Compounds that covalently modify KEAP1 to activate NRF2 are clinically validated; however, their chemical reactivity may drive increased off–target activity. A more selective approach involve...
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INTRODUCTION
Multiple sclerosis (MS) involves chronic inflammation driven by dysregulation of the JAK-STAT pathway. This study aimed to evaluate the potential interaction of natural cannabinoids with TYK2, with a focus on cannabidiol (CBD), using computational in silico approaches.
METHODS
A combined molecular dockin...
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