Discovery of novel microsomal prostaglandin E2 synthase 1 (mPGES-1) inhibitors by a structurally inspired virtual screening study

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Abdurrahman Olğaç , Paul M. Jordan , Christian Kretzer , Oliver Werz , Erden Banoglu
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引用次数: 0

Abstract

Prostaglandin (PG) E2 is a pro-inflammatory lipid mediator derived from the metabolism of arachidonic acid (AA) by cyclooxygenases (COX) and PGE2 synthases. Nonsteroidal anti-inflammatory drugs (NSAIDs), commonly used in the treatment of inflammation, nonselectively inhibit COX activity and decrease PGE2 production. However, these drugs cause gastrointestinal bleeding and several cardiovascular complications. Therefore, inhibiting microsomal PGE2 Synthase-1 (mPGES-1) to block PGE2 production downstream of COX is expected to yield safer and more effective treatments for inflammation, cancer, and cardiovascular diseases. At present, there are no mPGES-1 inhibitors available on the market, but ongoing research continuously evaluates new compounds in both preclinical and clinical stages. Here, we conducted a high throughput virtual screening campaign to discover novel mPGES-1 inhibitor scaffolds. This campaign utilized physicochemical filtering alongside both structure-aware ligand-based approaches (shape screening templates and pharmacophore models, which were generated based on the 3D binding modes of the co-crystallized mPGES-1 inhibitors) and structure-based strategies (refinement with docking and molecular dynamics). Thirty-four compounds were selected and biologically tested for mPGES-1 inhibition in a cell-free assay using microsomes from interleukin-1β-stimulated A549 cells as the source of mPGES-1. The most potent compound inhibited the remaining enzyme activity with an IC50 value of 6.46 μM in a cell-free assay for PGE2 production. We also compared the binding patterns of the most active compounds identified in this study with those of co-crystallized inhibitors using molecular dynamics simulations. This comparison underscored the crucial role of ionic interactions, π-π interactions, hydrogen bonds, and water bridges involving specific amino acids. Our results highlight the importance of these interaction networks within the binding cavity in various binding scenarios. Ultimately, the insights gained from this study could assist in designing and developing new mPGES-1 inhibitors.

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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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