JOURNAL ARTICLE

Insight Study For Repurposing Of Certain Anti‐Inflammatory Drugs Based On Aspirin and Salicylic Acid Scaffolds For The Treatment of Cancer as CDKs Inhibitors: Cheminformatics and Anticancer Studies.

  • Published In: ChemistrySelect, 2025, v. 10, n. 15. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Abdalla, Mohnad; Elmasry, Ahmed E.; Nemr, Mohamed T. M.; Alanazi, Mohammed M.; Attallah, Nashwah G. M.; Elshaier, Yaseen A. A. M. 3 of 3

Abstract

The highly increased and global mortality due to cancer has created an urgent need to discover promising targets for its treatment. Where drug repurposing was considered as an attractive approach that can facilitate the lead generation and optimization phases of drug discovery by repurposing existing agents to target diseases other than their primary uses. Cheminformatics studies represented in molecular docking as well as molecular dynamic simulation of salicylic acid / aspirin analogues and sulindac and indomethacin as anti‐inflammatory drugs were carried out to be used in drug repurposing as cyclin‐dependent kinases (CDKs) namely CDK2, CDK6, and CDK12 inhibitors. Sulindac displayed the best binding ligand to all the receptors. The CDKs inhibition effects of the three drugs namely sulindac, indomethacin and anthranilic acid demonstrated good inhibitory activity against CDK2, CDK6, and CDK12 ranging from 0.48 to 1.78 µM. Likewise, the cytotoxicity of the three drugs revealed potent anticancer effects ranging from 0.155 to 1.278 µM against three cancer cell lines: HCT‐116, MCF‐7, and HeLa cells. As a result, this repurposing technique saves a lot of time and money in order to discover new anticancer agents. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:ChemistrySelect. 2025/04, Vol. 10, Issue 15, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:2365-6549
  • DOI:10.1002/slct.202500175
  • Accession Number:184573970
  • Copyright Statement:Copyright of ChemistrySelect 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.