Virtual screening of B-Raf kinase inhibitors: A combination of pharmacophore modelling, molecular docking, 3D-QSAR model and binding free energy calculation studies.
Comput Biol Chem
; 70: 186-190, 2017 Oct.
Article
en En
| MEDLINE
| ID: mdl-28892749
B-Raf kinase has been identified as an important target in recent cancer treatment. In order to discover structurally diverse and novel B-Raf inhibitors (BRIs), a virtual screening of BRIs against ZINC database was performed by using a combination of pharmacophore modelling, molecular docking, 3D-QSAR model and binding free energy (ΔGbind) calculation studies in this work. After the virtual screening, six promising hit compounds were obtained, which were then tested for inhibitory activities of A375 cell lines. In the result, five hit compounds show good biological activities (IC50<50µM). The present method of virtual screening can be applied to find structurally diverse inhibitors, and the obtained five structurally diverse compounds are expected to develop novel BRIs.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Termodinámica
/
Algoritmos
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Ensayos de Selección de Medicamentos Antitumorales
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Relación Estructura-Actividad Cuantitativa
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Proteínas Proto-Oncogénicas B-raf
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Inhibidores de Proteínas Quinasas
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Simulación del Acoplamiento Molecular
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Antineoplásicos
Tipo de estudio:
Diagnostic_studies
/
Screening_studies
Límite:
Humans
Idioma:
En
Revista:
Comput Biol Chem
Asunto de la revista:
BIOLOGIA
/
INFORMATICA MEDICA
/
QUIMICA
Año:
2017
Tipo del documento:
Article