QSAR analysis for quinoxaline-2-carboxylate 1,4-di-N-oxides as anti-mycobacterial agents


Abstract:

In a continuing effort of our research group to identify new active compounds against Mycobacterium tuberculosis, we resort to the quantitative structure-activity relationships (QSARs) theory. For this purpose, we employ certain parameters of potency, cytotoxicity and selectivity as given by the Tuberculosis Antimicrobial Acquisition & Coordinating Facility (TAACF) program. The molecular structure of 43 quinoxaline-2-carboxylate 1,4-di-N-oxide derivatives is appropriately represented by 1497 DRAGON type of theoretical descriptors, and the best linear regression models established in this work are demonstrated to result pbkp_redictive. The application of the QSAR equations developed now serves as a rational guide for the proposal of new candidate structures that still do not have experimentally assigned biological data. © 2009 Elsevier Inc. All rights reserved.

Año de publicación:

2009

Keywords:

  • Multivariable Linear Regression
  • Replacement method
  • QSAR
  • Quinoxaline oxides
  • Tuberculosis

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Relación cuantitativa estructura-actividad
  • Farmacología
  • Farmacología

Áreas temáticas:

  • Química analítica