Unveiling structural components of dibenzofuran-based MMP-12 inhibitors: a comparative classification-dependent analysis with molecular docking-based virtual screening and molecular dynamics simulation
- PMID: 39780771
- PMCID: PMC11704098
- DOI: 10.1007/s40203-024-00296-z
Unveiling structural components of dibenzofuran-based MMP-12 inhibitors: a comparative classification-dependent analysis with molecular docking-based virtual screening and molecular dynamics simulation
Abstract
The implication of matrix metalloproteinase-12 (MMP-12) in various major disorders including cancer, COPD, cardiovascular disorders, and neurological diseases makes it a potential target for drug discovery. Contemplating the significance of MMP-12, a number of MMP-12 inhibitors were designed, synthesized and tested throughout the world but the non-selective nature of most of those molecules can lead to adverse drug interactions. In contradiction, the dibenzofuran (DBF) and dibenzothiophene (DBT) derivatives showed highly potent and selective MMP-12 inhibition. Therefore, to identify the prime molecular and structural attributes that are affecting the MMP-12 inhibitory activity, the linear discriminant analysis (LDA), Bayesian classification, recursive partitioning, and SARpy analysis were performed to extract the prime attributes of these DBFs and DBTs affecting MMP-12 inhibition. These studies suggested that substructures like isopropyl carboxylic acid, 5-methyl furan, 1,2,4-oxadiazole, and DBT moieties can impart moderate to high contribution for MMP-12 inhibition. Importantly, the outcomes of the current studies were also in agreement with our regression-based study performed earlier. Furthermore, the molecular docking-mediated virtual screening of DBT and DBF analogs of the ChEMBL database demonstrated the viability of other DBT and DBF analogs to become potential MMP-12-selective inhibitors. The molecular dynamics (MD) simulation study of hit molecules also showed the potential of the combination of phosphonic acid ZBG and DBF P1' substituent for effective anchoring/binding at the MMP-12 active site. Therefore, the findings may help in the discovery and designing of novel MMP-12 inhibitors that may be used for the treatment of various pathological diseases including cancer and COPD.
Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00296-z.
Keywords: Classification-based molecular modeling; MMP-12; Molecular docking; Molecular dynamics simulation; Virtual screening.
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Conflict of interest statement
Competing interestsThe authors declare no competing interests.
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