RESUMO
A series of quinazolin-4(3H)-one based agents containing thiadiazole-urea were designed, synthesized, and biologically evaluated. The proliferation rate of PC3 cells was moderately reduced by compound 9f (IC50 = 17.7 µM)which was comparable with sorafenib (IC50 = 17.3 µM). There was also a significant reduction in the number of HUVEC cells, when they were exposed to compound 9y (IC50 = 6.1 µM). To test the potential of compounds in inducing apoptosis, Annexin V-FITC/propidium iodide double staining assay was used. After the treatment of HUVEC cells with 9f, they underwent apoptotic effects. A substantial effort was dedicated to gathering comprehensive data across CAM assay. These data showed that 9f moderately inhibits the growth of corresponding blood vessels. Finally, the outcomes of Western blotting proposed a mechanism of action, by which the phosphorylation of VEGFR-2 is inhibited by compounds 9f and 9y.
Assuntos
Inibidores da Angiogênese/farmacologia , Antineoplásicos/farmacologia , Quinazolinonas/farmacologia , Tiadiazóis/farmacologia , Ureia/farmacologia , Inibidores da Angiogênese/síntese química , Inibidores da Angiogênese/química , Antineoplásicos/síntese química , Antineoplásicos/química , Linhagem Celular Tumoral , Proliferação de Células/efeitos dos fármacos , Relação Dose-Resposta a Droga , Ensaios de Seleção de Medicamentos Antitumorais , Humanos , Estrutura Molecular , Quinazolinonas/síntese química , Quinazolinonas/química , Relação Estrutura-Atividade , Tiadiazóis/química , Ureia/químicaRESUMO
Four stepwise multiple linear regressions (SMLR) and a genetic algorithm (GA) based multiple linear regressions (MLR), together with artificial neural network (ANN) models, were applied for quantitative structure-activity relationship (QSAR) modeling of dissociation constants (Kd) of 62 arylsulfonamide (ArSA) derivatives as human carbonic anhydrase II (HCA II) inhibitors. The best subsets of molecular descriptors were selected by SMLR and GA-MLR methods. These selected variables were used to generate MLR and ANN models. The predictability power of models was examined by an external test set and cross validation. In addition, some tests were done to examine other aspects of the models. The results show that for certain purposes GA-MLR is better than SMLR and for others, ANN overcomes MLR models.
Assuntos
Anidrase Carbônica II/antagonistas & inibidores , Inibidores da Anidrase Carbônica/química , Inibidores da Anidrase Carbônica/farmacologia , Relação Quantitativa Estrutura-Atividade , Sulfonamidas/química , Algoritmos , Humanos , Modelos Lineares , Redes Neurais de Computação , Reprodutibilidade dos Testes , Sulfonamidas/farmacologiaRESUMO
Inhibition of angiogenesis is a promising strategy for the treatment of cancer. Herein, we describe the design and synthesis of thieno[2,3-d]pyrimidine-1,3,4-thiadiazole-aryl urea derivatives 11a-m to evaluate their efficacy in the chick chorioallantoic membrane (CAM) assay. Among target agents, 11i had a considerable activity against prostate cancer cell line, PC3 (IC50 = 3.6 µM). Moreover, induction of apoptosis, good inhibitory activity against the growth of capillary blood vessels, and inhibition of VEGFR-2 phosphorylation were noticeable parameters which convinced us that 11i could be considered as a promising candidate for the discovery of novel drugs to treat tumors, particularly prostate cancer.