CB-Dock: a web server for cavity detection-guided protein-ligand blind docking.
Acta Pharmacol Sin
; 41(1): 138-144, 2020 Jan.
Article
em En
| MEDLINE
| ID: mdl-31263275
ABSTRACT
As the number of elucidated protein structures is rapidly increasing, the growing data call for methods to efficiently exploit the structural information for biological and pharmaceutical purposes. Given the three-dimensional (3D) structure of a protein and a ligand, predicting their binding sites and affinity are a key task for computer-aided drug discovery. To address this task, a variety of docking tools have been developed. Most of them focus on docking in the preset binding sites given by users. To automatically predict binding modes without information about binding sites, we developed a user-friendly blind docking web server, named CB-Dock, which predicts binding sites of a given protein and calculates the centers and sizes with a novel curvature-based cavity detection approach, and performs docking with a popular docking program, Autodock Vina. This method was carefully optimized and achieved ~70% success rate for the top-ranking poses whose root mean square deviation (RMSD) were within 2 Å from the X-ray pose, which outperformed the state-of-the-art blind docking tools in our benchmark tests. CB-Dock offers an interactive 3D visualization of results, and is freely available at http//cao.labshare.cn/cb-dock/.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Proteínas
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Internet
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Simulação de Acoplamento Molecular
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Idioma:
En
Revista:
Acta Pharmacol Sin
Assunto da revista:
FARMACOLOGIA
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
China