Back

Synthesis of new compounds bearing methyl sulfonyl pharmacophore as selective COX‐2 inhibitor.

  • Published In: Journal of Molecular Recognition, 2023, v. 36, n. 7. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Almarsoomi, Taha; Osmaniye, Derya; Sağlık, Begüm Nurpelin; Levent, Serkan; Ghani, Usman; Özkay, Yusuf; Kaplancıklı, Zafer Asım 3 of 3

Abstract

Cyclooxygenase, also known as prostaglandin H2 synthase (PGH2), is one of the most important enzymes in pharmacology because inhibition of COX is the mechanism of action of most nonsteroidal anti‐inflammatory drugs. In this study, ten thiazole derivative compounds had synthesized. The analysis of the obtained compounds was performed by 1H NMR and 13C NMR methods. By this method, the obtained compounds could be elucidated. The inhibitory effect of the obtained compounds on cyclooxygenase (COX) enzymes was investigated. The encoded compounds 5a, 5b, and 5c were found to be the most potent compared to the reference compounds ibuprofen (IC50 = 5.589 ± 0.278 μM), celecoxib (IC50 = 0.132 ± 0.004 μM), and nimesulide (IC50 = 1.692 ± 0.077 μM)against COX‐2 isoenzyme. The inhibitory activity of 5a, 5b, and 5c is approximate, but the 5a derivative proved to be the most active in the series with an IC50 value of 0.180 ± 0.002 μM. The most potent COXs inhibitor was 5a, which was further investigated for its potential binding mode by a molecular docking study. Compound 5a was found to be localized at the active site of the enzyme, like celecoxib, which has a remarkable effect on COXs enzymes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Molecular Recognition. 2023/07, Vol. 36, Issue 7, p1
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2023
  • ISSN:0952-3499
  • DOI:10.1002/jmr.3025
  • Accession Number:164249278
  • Copyright Statement:Copyright of Journal of Molecular Recognition is the property of Wiley-Blackwell 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.