ArticlePloS one2026
Integrative computational, synthetic, experimental evaluation of targeted inhibitors against matrix metalloproteinase-9: Toward precision modulation of proteolytic activity.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Systems Biology and Experimental Validation Enable Discovery of MMP9-Centered Networks, Anticancer Activity, and Pharmacodynamic Signature in Non-Small Cell Lung Cancer.International journal of molecular sciences · 2026Article
- Network Toxicology and Molecular Docking Analysis of Targets and Potential Mechanisms of PEEK-Induced Bone Resorption.International journal of molecular sciences · 2026Article
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Authors and funding
5 authors.
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Abstract
Matrix metalloproteinase-9 (MMP-9) is a zinc-dependent enzyme that degrades the extracellular matrix and is involved in various diseases, including rheumatoid arthritis, atherosclerosis, tumor invasion, and metastasis. Despite the development of inhibitors, none have succeeded in trials. Our goal was to find potential inhibitors to regulate its proteolytic activity. Ligand- and structure-based drug design approaches were explored to identify inhibitors against wild-type (1GKC) and mutant (2OW1) MMP-9. A pharmacophore model was created, and drug-like molecules were prioritized to guide the development of benzamide and 1H-indole-2-carboxamide derivatives. These compounds were synthesized and characterized using ¹H NMR, 13C NMR, and HRMS (ESI). An experimental evaluation assessed their inhibitory potential and IC50 values against MMP-9. Most tested inhibitors fit the pharmacophore model, which consists of three aromatic/hydrophobic spheres and two hydrogen-bond donors/acceptors. Compounds 1, 2, 8, 10, 20, 21, 27, and 29 exhibited significant inhibition (P < 0.0001) of over 60%. Compounds 2 and 20 inhibited growth by over 70%, with IC50 values of 28.59 μM and 30.82 μM, respectively. The IF docking showed strong binding for these, with scores of -9.179 and -10.739 kcal/mol. The alignment between the computational approach and experimental validation reinforces the inhibitor's specificity and potency, confirms the docking model, and suggests that the predicted binding pose represents key biological interactions.
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