Unveiling structural components of dibenzofuran-based MMP-12 inhibitors: a comparative classification-dependent analysis with molecular docking-based virtual screening and molecular dynamics simulation.

In silico pharmacology Pub Date : 2025-01-07 eCollection Date: 2025-01-01 DOI:10.1007/s40203-024-00296-z
Jigme Sangay Dorjay Tamang, Suvankar Banerjee, Balaram Ghosh, Sandip Kumar Baidya, Tarun Jha, Nilanjan Adhikari
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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.

揭示基于二苯并呋喃的MMP-12抑制剂的结构成分:基于分子对接的虚拟筛选和分子动力学模拟的比较分类依赖分析。
基质金属蛋白酶-12 (MMP-12)在包括癌症、慢性阻塞性肺病、心血管疾病和神经系统疾病在内的各种主要疾病中的意义使其成为药物发现的潜在靶点。考虑到MMP-12的重要性,世界各地设计、合成和测试了许多MMP-12抑制剂,但大多数这些分子的非选择性可能导致不良的药物相互作用。相反,二苯并呋喃(DBF)和二苯并噻吩(DBT)衍生物对MMP-12表现出高度有效和选择性的抑制作用。因此,为了确定影响MMP-12抑制活性的主要分子和结构属性,我们采用线性判别分析(LDA)、贝叶斯分类、递归划分和SARpy分析来提取这些dbf和dbt影响MMP-12抑制的主要属性。这些研究表明,异丙基羧酸、5-甲基呋喃、1,2,4-恶二唑和DBT等亚结构对MMP-12的抑制作用有中等到较高的贡献。重要的是,当前研究的结果也与我们之前进行的基于回归的研究一致。此外,通过分子对接介导的ChEMBL数据库中DBT和DBF类似物的虚拟筛选,证明了其他DBT和DBF类似物成为潜在的mmp -12选择性抑制剂的可行性。命中分子的分子动力学(MD)模拟研究也显示了膦酸ZBG和DBF P1'取代基结合在MMP-12活性位点上有效锚定/结合的潜力。因此,这些发现可能有助于发现和设计新的MMP-12抑制剂,这些抑制剂可能用于治疗包括癌症和COPD在内的各种病理疾病。补充信息:在线版本包含补充资料,提供地址为10.1007/s40203-024-00296-z。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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