JOURNAL ARTICLE
In Silico Investigation Targeting the IL-6/JAK-1/TNF-α Pathway in Rheumatoid arthritis: Matricaria chamomilla L. Compounds.
Published In: Journal of Computational Biophysics & Chemistry, 2025, v. 24, n. 4. P. 457 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Özmaldar, Aydın; Akkaya, Hatice 3 of 3
Abstract
Chamomile, emphasized as an herbal remedy with healing potential for human health, is used in traditional medicine. In this study, the potential of compounds derived from Matricaria chamomilla L. against IL-6, JAK-1 and TNF- α target proteins associated with rheumatoid arthritis (RA) was compared with known inhibitors. The drug-likeness and ADME/T properties of these compounds were investigated using online tools, and molecular docking and molecular dynamics simulations of the selected structures were examined. IL-6, JAK-1 and TNF- α formed stable complexes with apigenin, quercetin and galaxolide, respectively, demonstrating that these compounds exhibit potential inhibitory activity against RA. This study highlights the therapeutic potential of chamomile components against the key proteins IL-6, JAK-1, and TNF- α associated with rheumatoid arthritis. It emphasizes that apigenin, quercetin, and galaxolide exhibit strong binding properties to these target proteins, with molecular dynamics simulations of quercetin with JAK-1 and galaxolid with TNF- α being reported for the first time. Furthermore, computational analyses demonstrate that these components possess drug-like properties, indicating their potential as anti-inflammatory therapies. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Computational Biophysics & Chemistry. 2025/05, Vol. 24, Issue 4, p457
- Document Type:Article
- Subject Area:Complementary and Alternative Medicine
- Publication Date:2025
- ISSN:2737-4165
- DOI:10.1142/S2737416524500662
- Accession Number:184275174
- Copyright Statement:Copyright of Journal of Computational Biophysics & Chemistry is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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