Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Más filtros

Base de datos
Tipo de estudio
Tipo del documento
Asunto de la revista
País de afiliación
Intervalo de año de publicación
1.
SAR QSAR Environ Res ; 34(4): 341-359, 2023 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-37218662

RESUMEN

As a target for clinical anti-cancer treatment, epidermal growth factor receptor (EGFR) exhibits its over-expression on various tumour cells and is associated with the development of a variety of human cancers. Herein, we described the synthesis, antiproliferative activity assay and 4D-QSAR studies of thiadiazole derivatives bearing acrylamide moiety as EGFR inhibitors. Compared with Gefitinib, some of the target compounds have excellent antiproliferative activities against EGFR-expressed A431 cell line. The robust and reliable 4D-QSAR was constructed using comparative distribution detection algorithm, ordered predictors selection and genetic algorithm method, and the following acceptable statistics are shown: r2 = 0.82, Q2LOO = 0.67, Q2LMO = 0.61, r2Pred = 0.78.


Asunto(s)
Antineoplásicos , Receptores ErbB , Relación Estructura-Actividad Cuantitativa , Humanos , Acrilamida , Antineoplásicos/farmacología , Línea Celular Tumoral , Receptores ErbB/antagonistas & inhibidores
2.
SAR QSAR Environ Res ; 32(3): 175-190, 2021 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-33618568

RESUMEN

Cannabinoid receptor has been shown to be overexpressed in various types of cancers, especially non-small cell lung cancer. As a result, it could be used as novel target for anticancer treatments. Because receptor-dependent 4D-QSAR generates conformational ensemble profiles of compounds by molecular dynamics simulations at the binding site of the enzyme, this work describes the synthesis, biological activity evaluation and 4D-QSAR studies of 4,5-dihydro-1,3,4-oxadiazole derivatives targeting cannabinoid receptor. Compared with WIN55,212-2, compound 5 f showed the best antiproliferative activity. The receptor-dependent 4D-QSAR model was generated by multiple linear regression method using QSARINS. Leave-n-out cross-validation and chemical applicability domain were performed to analyse the independent test set and to verify the robustness of the model. The best 4D-QSAR model showed the following statistics: r2 = 0.8487, Q2LOO = 0.7667, Q2LNO = 0.7524, and r2Pred = 0.8358.


Asunto(s)
Oxadiazoles/farmacología , Relación Estructura-Actividad Cuantitativa , Receptores de Cannabinoides/efectos de los fármacos , Células A549 , Proliferación Celular/efectos de los fármacos , Humanos , Conformación Molecular , Simulación de Dinámica Molecular , Oxadiazoles/síntesis química , Oxadiazoles/química
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA