Research Journal of Pharmacy and Technology
SCOPUS
  • Year: 2026
  • Volume: 19
  • Issue: 5

QSAR Study for Developing a New c-SRC Tyrosine Kinase Inhibitors

1Master Student in Pharmaceutical Chemistry and Quality Control Department, Faculty of Pharmacy, Latakia University, Syria

2Professor in in Pharmaceutical Chemistry and Quality Control Department, Faculty of Pharmacy, Tartous University, Syria

3Professor in Pharmaceutical Chemistry and Quality Control Department, Faculty of Pharmacy, Latakia, Syria

*Corresponding Author E-mail: muhamed.nanaa@tishreen.edu.sy

**fatensliman@tartous-univ.edu.sy

***halabarakat@tishreen.edu.sy

Abstract

c-Src tyrosine kinase is a member of the SRC family kinase, it plays a critical role in various cellular processes, including proliferation, migration, and apoptosis by modulating cell signaling pathways. Dysregulation of c-Src kinase is implicated in numerous diseases, particularly cancer, where its aberrant activation promotes tumor growth, metastasis, and drug resistance. This study explored the use of Quantitative Structure-Activity Relationship (QSAR) modeling to design novel inhibitors targeting c-Src kinase. By compiling a dataset of known c-Src inhibitors, calculating descriptors, and employing multiple linear regression analysis, a robust QSAR model was developed. Key descriptors such as Jurs_PPSA1, Jx, and HBA_Count were identified as significant contributors to inhibition activity. Based on the findings from the Structure-Activity Relationship (QSAR) analysis, several new compounds have been proposed, they showed a high potency as c-SRC enzyme inhibitors.

Keywords

c-SRC, Tyrosine kinase, Cancer, QSAR, Drug Design, Multi Linear Regression, Tyrosine kinase inhibitors