RESUMEN
Administration of appropriate therapeutic regimes for infections arising from pathogenic species of Burkholderia is critically dependent upon rapid and accurate diagnoses. The purpose of this work is to establish a bioinformatic pipeline to assess protein sequences for their potential as diagnostic targets for the detection of Burkholderia species. Data are presented showing both a bioinformatic methodology for prediction of surface-associated and secreted proteins and its application to a test dataset of proteins from the pathogen B. pseudomallei. A subset of proteins, known to be produced by the organism, is identified which represents potential targets for development of new diagnostic reagents. In addition, a 'reverse diagnostics' bioinformatics approach has been established which can now be extended to whole genome analyses.
Asunto(s)
Burkholderia pseudomallei/genética , Melioidosis/diagnóstico , Proteínas de la Membrana/aislamiento & purificación , Proteómica/métodos , Proteínas de la Membrana Bacteriana Externa/genética , Proteínas de la Membrana Bacteriana Externa/aislamiento & purificación , Burkholderia pseudomallei/aislamiento & purificación , Humanos , Proteínas de la Membrana/genética , Datos de Secuencia Molecular , Juego de Reactivos para Diagnóstico/normasRESUMEN
Re(CO)3L compounds, where L is a methane-derivatized tripodal ligand, can be prepared under aqueous conditions, and one of which displays significant stability under physiological conditions.