Structure-based prediction of Mycobacterium tuberculosis shikimate kinase inhibitors by high-throughput virtual screening

Aldo Segura-Cabrera, Mario A. Rodríguez-Pérez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

44 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)3152-3157
Número de páginas6
PublicaciónBioorganic and Medicinal Chemistry Letters
Volumen18
N.º11
DOI
EstadoPublicada - 1 jun. 2008

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