Búsqueda racional de blancos terapéuticos para atacar al bacilo de la tuberculosis en la fase de latencia

A differential expression microarray analysis of stressed in-vitro Mycobacterium Tuberculosis (Mt), strain H37Rv, mimicking the microorganism?s latent state in the host was performed. This analysis was combined with information from various publicly available bioinformatics databases using a new too...

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Autor principal: Kruk, Ivan Matías
Otros Autores: Martí, Marcelo
Formato: Tesis de maestría acceptedVersion
Lenguaje:Español
Publicado: Facultad de Farmacia y Bioquímica 2014
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Acceso en línea:http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=afamaster&cl=CL1&d=HWA_812
http://repositoriouba.sisbi.uba.ar/gsdl/collect/afamaster/index/assoc/HWA_812.dir/812.PDF
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Sumario:A differential expression microarray analysis of stressed in-vitro Mycobacterium Tuberculosis (Mt), strain H37Rv, mimicking the microorganism?s latent state in the host was performed. This analysis was combined with information from various publicly available bioinformatics databases using a new tool in development called Tuberquery. This tool allowed us to identify a number of Open Reading Frames (ORFs) with a certain Protein Family (PFAM) sequence homology, for which exists at least one molecular structure listed in the Protein Data Bank (PDB). Subsequently metabolic and essentiality information was considered to classify the lead compounds obtained. Finally, we propose the follow up of this work with further research on drugability, off-targeting and virtual screening in order to estimate the pharmacological potency of the lead candidates obtained. We state the benefit of utilizing bioinformatics tools to pursue the discovery of novel drug targets as one way to optimize the resources in the beginning stages of the rational drug discovery process.