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Updated: May 13, 2026

Functionalized Spirocyclic Heterocycle Synthesis and Cytotoxicity Assay
Published on: February 9, 2021
Phenylpropiophenone derivatives as potential anticancer agents: synthesis, biological evaluation and quantitative
Branka M Ivković1, Katarina Nikolic, Bojana B Ilić
1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade, Serbia. blucic@pharmacy.bg.ac.rs
Researchers synthesized twelve chalcone and propafenone derivatives and assessed their anticancer potential against multiple cell lines. Quantitative Structure-Activity Relationship (QSAR) studies identified key molecular features, guiding the design of new derivatives with improved efficacy.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Pharmacology
Background:
- Cancer remains a leading cause of mortality worldwide, necessitating the development of novel therapeutic agents.
- Chalcone and propafenone derivatives are classes of compounds with known biological activities, including potential anticancer effects.
Purpose of the Study:
- To synthesize and evaluate the in vitro anticancer activity of twelve novel chalcone and propafenone derivatives.
- To perform 2D and 3D Quantitative Structure-Activity Relationship (QSAR) studies to understand the structural requirements for anticancer activity.
- To identify key molecular descriptors and pharmacophores to guide the design of more potent anticancer agents.
Main Methods:
- Synthesis of twelve chalcone and propafenone derivatives.
- In vitro cytotoxicity assays against HeLa, Fem-X, PC-3, MCF-7, LS174, and K562 cancer cell lines.
- 2D-QSAR and 3D-QSAR modeling using Partial Least Squares (PLS) regression.
- Model validation using leave-one-out cross-validation and external validation.
Main Results:
- All synthesized compounds exhibited varying degrees of cytotoxic activity against the tested cancer cell lines.
- QSAR models successfully identified significant molecular descriptors and pharmacophores correlated with anticancer activity.
- Optimal 2D-QSAR and 3D-QSAR models were developed for each cell line, demonstrating good predictive potential.
Conclusions:
- The study successfully identified promising chalcone and propafenone derivatives with significant anticancer activity.
- QSAR analysis provided valuable insights into the structural features essential for enhancing anticancer efficacy against specific cancer types.
- The findings pave the way for the rational design of novel, more potent anticancer drug candidates based on chalcone and propafenone scaffolds.
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