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1.
SAR QSAR Environ Res ; 34(4): 341-359, 2023 Apr.
Article in English | MEDLINE | ID: mdl-37218662

ABSTRACT

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.


Subject(s)
Antineoplastic Agents , ErbB Receptors , Quantitative Structure-Activity Relationship , Humans , Acrylamide , Antineoplastic Agents/pharmacology , Cell Line, Tumor , ErbB Receptors/antagonists & inhibitors
2.
SAR QSAR Environ Res ; 32(3): 175-190, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33618568

ABSTRACT

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.


Subject(s)
Oxadiazoles/pharmacology , Quantitative Structure-Activity Relationship , Receptors, Cannabinoid/drug effects , A549 Cells , Cell Proliferation/drug effects , Humans , Molecular Conformation , Molecular Dynamics Simulation , Oxadiazoles/chemical synthesis , Oxadiazoles/chemistry
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