QSAR, molecular dynamics, and biological evaluation of novel myeloperoxidase inhibitors via ligand-based pharmacophore modeling as potential anticancer agents
Aug 2026· Journal of Computer-Aided Molecular Design· Vol 40· 1 citation· 57 references
Medicine
TL;DR
The findings from molecular docking, 500-ns molecular dynamics simulations, MM-GBSA calculations, and alanine scanning analyses collectively corroborate a stable binding mode of BTB11556 within the MPO active site, support further investigation of BTB11556 as a candidate compound associated with MPO-targeted therapeutic strategies.
This study highlights natural diterpenoids and coumarin glycosides as promising scaffolds for caspase-1 inhibition and demonstrates that integrating QSAR modeling with structure-based approaches provides an efficient strategy for discovering potential anti-inflammatory drug candidates.
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Several structurally novel compounds are identified as promising potential VEGFR2 inhibitors and supports the effectiveness of integrating pharmacophore modeling, QSAR analysis, molecular docking, and experimental validation for anticancer drug discovery.
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Genistein and hematoxylin demonstrate promising molecular interactions and pharmacological profiles as potential natural RR inhibitors and supports further preclinical development as anticancer agents.
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The results indicate that electronic and steric factors around the 4-aminoquinoline nucleus strongly influence anticancer activity, and the optimised pharmacophore provides a framework for designing new, more potent anticancer agents.
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Computational findings support the prioritization of X14 for further experimental validation in glioblastoma therapy, and generally favorable ADMET profiles were observed, hepatotoxicity alerts were predicted for all compounds, which represents an important limitation supporting the prioritization of X14.
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