Innovative Amino-Functionalization of Pyrido[2,3- d ]pyrimidine Scaffolds for Broad Therapeutic Applications Supported by Computational Analyses.
Gespeichert in:
| Titel: | Innovative Amino-Functionalization of Pyrido[2,3- d ]pyrimidine Scaffolds for Broad Therapeutic Applications Supported by Computational Analyses. |
|---|---|
| Autoren: | El-Hema, Hagar S., Shehata, Haitham E., Hawata, Mohamed A., Nossier, Eman S., El-Sayed, Ahmed F., Altwaijry, Najla A., Saleh, Asmaa, Hussein, Modather F., Sabry, Amr, Abdel-Rahman, Adel A.-H. |
| Quelle: | Pharmaceuticals (14248247); Oct2025, Vol. 18 Issue 10, p1472, 39p |
| Schlagwörter: | ANTIBACTERIAL agents, ANTINEOPLASTIC agents, TREATMENT effectiveness, MOLECULAR dynamics, EPIDERMAL growth factor receptors, PYRIMIDINES, QUANTITATIVE research |
| Abstract: | Background: Derivatives of Pyrido[2,3-d]pyrimidine-6-carboxylate are promising multi-target scaffolds. This study focused on synthesizing 16 amino-functionalized derivatives and evaluating their dual anticancer and antibacterial activities, supported by mechanistic and computational analyses. Objectives: Design and synthesize derivatives, evaluate cytotoxicity against HeLa, HepG-2, and MCF-7 (selectivity against WI-38), investigate EGFRWT and EGFRT790M inhibition, assess cell cycle, apoptosis, and migration effects, antibacterial efficacy against E. coli and P. aeruginosa, and perform in silico ADMET, docking, molecular dynamics, DFT, and antiviral predictions. Methods: Synthesized 16 derivatives; tested for cytotoxicity, EGFR inhibition, cell cycle, apoptosis, migration; assessed antibacterial activity; performed ADMET profiling, molecular docking, molecular dynamics, and DFT calculations. Results: Derivatives 1, 2, and 7 showed highest cytotoxicity (IC |
| Copyright of Pharmaceuticals (14248247) is the property of MDPI 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.) | |
| Datenbank: | Biomedical Index |
Schreiben Sie den ersten Kommentar!
Full Text Finder
Nájsť tento článok vo Web of Science