TY  - JOUR
AU  - Ivković, Branka
AU  - Nikolić, Katarina
AU  - Ilić, Bojana B.
AU  - Žižak, Željko
AU  - Novaković, Radmila
AU  - Čudina, Olivera
AU  - Vladimirov, Sote
PY  - 2013
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1977
AB  - Series of twelve chalcone and propafenone derivatives has been synthesized and evaluated for anticancer activities against Hela, Fem-X, PC-3, MCF-7, LS174 and K562 cell lines. The 2D-QSAR and 3D-QSAR studies were performed for all compounds with cytotoxic activities against each cancer cell line. Partial least squares (PLS) regression has been applied for selection of the most relevant molecular descriptors and QSAR models building. Predictive potentials of the created 2D-QSAR and 3D-QSAR models for each cell line were compared, by use of leave-one-out cross-validation and external validation, and optimal QSAR models for each cancer cell line were selected. The QSAR studies have selected the most significant molecular descriptors and pharmacophores of the chalcone and propafenone derivatives and proposed structures of novel chalcone and propafenone derivatives with enhanced anticancer activity on the HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cells.
PB  - Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux
T2  - European Journal of Medicinal Chemistry
T1  - Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure-activity relationship study
VL  - 63
SP  - 239
EP  - 255
DO  - 10.1016/j.ejmech.2013.02.013
ER  - 

@article{
author = "Ivković, Branka and Nikolić, Katarina and Ilić, Bojana B. and Žižak, Željko and Novaković, Radmila and Čudina, Olivera and Vladimirov, Sote",
year = "2013",
abstract = "Series of twelve chalcone and propafenone derivatives has been synthesized and evaluated for anticancer activities against Hela, Fem-X, PC-3, MCF-7, LS174 and K562 cell lines. The 2D-QSAR and 3D-QSAR studies were performed for all compounds with cytotoxic activities against each cancer cell line. Partial least squares (PLS) regression has been applied for selection of the most relevant molecular descriptors and QSAR models building. Predictive potentials of the created 2D-QSAR and 3D-QSAR models for each cell line were compared, by use of leave-one-out cross-validation and external validation, and optimal QSAR models for each cancer cell line were selected. The QSAR studies have selected the most significant molecular descriptors and pharmacophores of the chalcone and propafenone derivatives and proposed structures of novel chalcone and propafenone derivatives with enhanced anticancer activity on the HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cells.",
publisher = "Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux",
journal = "European Journal of Medicinal Chemistry",
title = "Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure-activity relationship study",
volume = "63",
pages = "239-255",
doi = "10.1016/j.ejmech.2013.02.013"
}

Ivković, B., Nikolić, K., Ilić, B. B., Žižak, Ž., Novaković, R., Čudina, O.,& Vladimirov, S.. (2013). Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure-activity relationship study. in European Journal of Medicinal Chemistry
Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux., 63, 239-255.
https://doi.org/10.1016/j.ejmech.2013.02.013

Ivković B, Nikolić K, Ilić BB, Žižak Ž, Novaković R, Čudina O, Vladimirov S. Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure-activity relationship study. in European Journal of Medicinal Chemistry. 2013;63:239-255.
doi:10.1016/j.ejmech.2013.02.013 .

Ivković, Branka, Nikolić, Katarina, Ilić, Bojana B., Žižak, Željko, Novaković, Radmila, Čudina, Olivera, Vladimirov, Sote, "Phenylpropiophenone derivatives as potential anticancer agents: Synthesis, biological evaluation and quantitative structure-activity relationship study" in European Journal of Medicinal Chemistry, 63 (2013):239-255,
https://doi.org/10.1016/j.ejmech.2013.02.013 . .