Structure-based prediction of Mycobacterium tuberculosis shikimate kinase inhibitors by high-throughput virtual screening.
Bioorg Med Chem Lett
; 18(11): 3152-7, 2008 Jun 01.
Article
em En
| MEDLINE
| ID: mdl-18486472
ABSTRACT
A structure-based virtual screening protocol was used to predict Mycobacterium tuberculosis shikimate kinase (MtSk) inhibitors. Docking simulations were performed using eHiTS software and 644 drug-like compounds were identified as potential inhibitors. Forty-two percent of such inhibitors had a structural relationship to a triazole or a tetrazole heteroaromatic system which may provide a candidate lead for the discovery of MtSk inhibitors.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tetrazóis
/
Triazóis
/
Fosfotransferases (Aceptor do Grupo Álcool)
/
Mycobacterium tuberculosis
/
Antituberculosos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Idioma:
En
Ano de publicação:
2008
Tipo de documento:
Article