Please use this identifier to cite or link to this item:
https://www.arca.fiocruz.br/handle/icict/14821
A WHOLE GENOME BIOINFORMATIC APPROACH TO DETERMINE POTENTIAL LATENT PHASE SPECIFIC TARGETS IN MYCOBACTERIUM TUBERCULOSIS
Reactive oxygen and nitrogen species
(RNOS)
Latent phase
Structural bioinformatics
Author
Affilliation
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Instituto de C alculo. Facultad de Ciencias Exactas y Naturales. Plataforma de Bioinformatica Argentina. Buenos Aires, Argentina
Fundação Gonçalo Moniz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil / Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil
Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil
Instituto de Calculo. Facultad de Ciencias Exactas y Naturales. Plataforma de Bioinformatica Argentina. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Instituto de C alculo. Facultad de Ciencias Exactas y Naturales. Plataforma de Bioinformatica Argentina. Buenos Aires, Argentina
Fundação Gonçalo Moniz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil / Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil
Laboratório Nacional de Computação Científica. Petrópolis, RJ, Brasil
Instituto de Calculo. Facultad de Ciencias Exactas y Naturales. Plataforma de Bioinformatica Argentina. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biologica. Buenos Aires, Argentina
Abstract
Current Tuberculosis treatment is long and expensive, faces the increasing burden of MDR/XDR strains
and lack of effective treatment against latent form, resulting in an urgent need of new anti-TB drugs. Key
to TB biology is its capacity to fight the host's RNOS mediated attack. RNOS are known to display a
concentration dependent mycobactericidal activity, which leads to the following hypothesis ”if we know
which proteins are targeted by RNOS and kill TB, we we might be able to inhibit them with drugs
resulting in a synergistic bactericidal effect”. Based on this idea, we performed an Mtb metabolic network
whole proteome analysis of potential RNOS sensitive and relevant targets which includes target
druggability and essentiality criteria. Our results, available at http://tuberq.proteinq.com.ar yield new
potential TB targets, like I3PS, while also providing and updated view of previous proposals becoming an
important tool for researchers looking for new ways of killing TB
Keywords
Mycobacterium tuberculosisReactive oxygen and nitrogen species
(RNOS)
Latent phase
Structural bioinformatics
Share