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Comput Math Methods Med ; 2021: 3195957, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34413896

RESUMO

A ligand-based and docking-based virtual screening was carried out to identify novel MDM2 inhibitors. A pharmacophore model with four features was used for virtual screening, followed by molecular docking. Seventeen compounds were selected for an in vitro MDM2 inhibition assay, and compounds AO-476/43250177, AG-690/37072075, AK-968/15254441, AO-022/43452814, and AF-399/25108021 showed promising MDM2 inhibition activities with K i values of 9.5, 8.5, 23.4, 3.2, and 23.1 µM, respectively. Four compounds also showed antiproliferative activity, and compound AO-022/43452814 was the most potent hit with IC50 values of 19.35, 26.73, 12.63, and 24.14 µM against MCF7 (p53 +/+), MCF7 (p53 -/-), HCT116 (p53 +/+), and HCT116 (p53 -/-) cell lines, respectively. Compound AO-022/43452814 could be used as a scaffold for the development of anticancer agents targeting MDM2.


Assuntos
Antineoplásicos/química , Antineoplásicos/farmacologia , Proteínas Proto-Oncogênicas c-mdm2/antagonistas & inibidores , Biologia Computacional , Descoberta de Drogas , Ensaios de Seleção de Medicamentos Antitumorais , Inibidores Enzimáticos/química , Inibidores Enzimáticos/farmacologia , Células HCT116 , Humanos , Ligantes , Células MCF-7 , Simulação de Acoplamento Molecular , Relação Estrutura-Atividade , Interface Usuário-Computador
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