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1.
Proc Natl Acad Sci U S A ; 110(28): 11565-70, 2013 Jul 09.
Artigo em Inglês | MEDLINE | ID: mdl-23798446

RESUMO

Infection with the bacterial pathogen Mycobacterium tuberculosis imposes an enormous burden on global public health. New antibiotics are urgently needed to combat the global tuberculosis pandemic; however, the development of new small molecules is hindered by a lack of validated drug targets. Here, we describe the identification of a 4,6-diaryl-5,7-dimethyl coumarin series that kills M. tuberculosis by inhibiting fatty acid degradation protein D32 (FadD32), an enzyme that is required for biosynthesis of cell-wall mycolic acids. These substituted coumarin inhibitors directly inhibit the acyl-acyl carrier protein synthetase activity of FadD32. They effectively block bacterial replication both in vitro and in animal models of tuberculosis, validating FadD32 as a target for antibiotic development that works in the same pathway as the established antibiotic isoniazid. Targeting new steps in well-validated biosynthetic pathways in antitubercular therapy is a powerful strategy that removes much of the usual uncertainty surrounding new targets and in vivo clinical efficacy, while circumventing existing resistance to established targets.


Assuntos
Proteínas de Bactérias/efeitos dos fármacos , Cumarínicos/farmacologia , Mycobacterium tuberculosis/efeitos dos fármacos , Ácidos Micólicos/metabolismo , Animais , Proteínas de Bactérias/metabolismo , Camundongos , Testes de Sensibilidade Microbiana , Mycobacterium tuberculosis/crescimento & desenvolvimento , Mycobacterium tuberculosis/metabolismo , Peixe-Zebra
2.
ACS Chem Biol ; 7(8): 1377-84, 2012 Aug 17.
Artigo em Inglês | MEDLINE | ID: mdl-22577943

RESUMO

Despite the urgent need for new antitubercular drugs, few are on the horizon. To combat the problem of emerging drug resistance, structurally unique chemical entities that inhibit new targets will be required. Here we describe our investigations using whole cell screening of a diverse collection of small molecules as a methodology for identifying novel inhibitors that target new pathways for Mycobacterium tuberculosis drug discovery. We find that conducting primary screens using model mycobacterial species may limit the potential for identifying new inhibitors with efficacy against M. tuberculosis. In addition, we confirm the importance of developing in vitro assay conditions that are reflective of in vivo biology for maximizing the proportion of hits from whole cell screening that are likely to have activity in vivo. Finally, we describe the identification and characterization of two novel inhibitors that target steps in M. tuberculosis cell wall biosynthesis. The first is a novel benzimidazole that targets mycobacterial membrane protein large 3 (MmpL3), a proposed transporter for cell wall mycolic acids. The second is a nitro-triazole that inhibits decaprenylphosphoryl-ß-D-ribose 2'-epimerase (DprE1), an epimerase required for cell wall biosynthesis. These proteins are both among the small number of new targets that have been identified by forward chemical genetics using resistance generation coupled with genome sequencing. This suggests that methodologies currently employed for screening and target identification may lead to a bias in target discovery and that alternative methods should be explored.


Assuntos
Antituberculosos/farmacologia , Mycobacterium tuberculosis/metabolismo , Antituberculosos/química , Bioquímica/métodos , Parede Celular/metabolismo , Química Farmacêutica/métodos , Relação Dose-Resposta a Droga , Desenho de Fármacos , Descoberta de Drogas , Avaliação Pré-Clínica de Medicamentos/métodos , Glicerol/química , Proteínas de Fluorescência Verde/metabolismo , Testes de Sensibilidade Microbiana , Modelos Químicos , Mutação , Mycobacterium tuberculosis/genética
3.
Nat Methods ; 6(1): 67-9, 2009 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-19079253

RESUMO

Our variant ascertainment algorithm, VAAL, uses massively parallel DNA sequence data to identify differences between bacterial genomes with high sensitivity and specificity. VAAL detected approximately 98% of differences (including large insertion-deletions) between pairs of strains from three species while calling no false positives. VAAL also pinpointed a single mutation between Vibrio cholerae genomes, identifying an antibiotic's site of action by identifying sequence differences between drug-sensitive strains and drug-resistant derivatives.


Assuntos
DNA Bacteriano/análise , DNA Bacteriano/genética , Polimorfismo Genético/genética , Algoritmos , Sequência de Bases , Bases de Dados de Ácidos Nucleicos , Sensibilidade e Especificidade
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