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

Aldo Segura-Cabrera, Mario A. Rodríguez-Pérez

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

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.

Original languageEnglish
Pages (from-to)3152-3157
Number of pages6
JournalBioorganic and Medicinal Chemistry Letters
Volume18
Issue number11
DOIs
StatePublished - 1 Jun 2008

Keywords

  • Mycobacterium tuberculosis
  • Shikimate kinase inhibitors
  • Structure-based drug design
  • Tetrazole
  • Triazole

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