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1.
Cell Biochem Biophys ; 76(1-2): 125-134, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-28822069

RESUMO

Mycobacterium leprae, the causal agent of leprosy is non-cultivable in vitro. Thus, the assessment of antibiotic activity against Mycobacterium leprae depends primarily upon the time-consuming mouse footpad system. The GyrA protein of Mycobacterium leprae is the target of the antimycobacterial drug, Ofloxacin. In recent times, the GyrA mutation (A91V) has been found to be resistant to Ofloxacin. This phenomenon has necessitated the development of new, long-acting antimycobacterial compounds. The underlying mechanism of drug resistance is not completely known. Currently, experimentally crystallized GyrA-DNA-OFLX models are not available for highlighting the binding and mechanism of Ofloxacin resistance. Hence, we employed computational approaches to characterize the Ofloxacin interaction with both the native and mutant forms of GyrA complexed with DNA. Binding energy measurements obtained from molecular docking studies highlights hydrogen bond-mediated efficient binding of Ofloxacin to Asp47 in the native GyrA-DNA complex in comparison with that of the mutant GyrA-DNA complex. Further, molecular dynamics studies highlighted the stable binding of Ofloxacin with native GyrA-DNA complex than with the mutant GyrA-DNA complex. This mechanism provided a plausible reason for the reported, reduced effect of Ofloxacin to control leprosy in individuals with the A91V mutation. Our report is the first of its kind wherein the basis for the Ofloxacin drug resistance mechanism has been explored with the help of ternary Mycobacterium leprae complex, GyrA-DNA-OFLX. These structural insights will provide useful information for designing new drugs to target the Ofloxacin-resistant DNA gyrase.


Assuntos
Proteínas de Bactérias/metabolismo , DNA Girase/metabolismo , Mycobacterium leprae/enzimologia , Ofloxacino/metabolismo , Quinolonas/metabolismo , Algoritmos , Proteínas de Bactérias/química , Proteínas de Bactérias/genética , Sítios de Ligação , Domínio Catalítico , DNA/química , DNA/metabolismo , DNA Girase/química , DNA Girase/genética , Farmacorresistência Bacteriana , Ligação de Hidrogênio , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Mutação , Ofloxacino/química , Quinolonas/química
2.
Mol Biosyst ; 12(7): 2178-88, 2016 06 21.
Artigo em Inglês | MEDLINE | ID: mdl-27120972

RESUMO

Dapsone resistance is a serious impediment to the implementation of the present leprosy control strategies. In the recent past, many studies have been undertaken to address the antibiotic activity and binding pattern of dapsone against both native and mutant (Pro55Leu) folP1. Yet, there is no well-developed structural basis for understanding drug action and there is dire need for new antibacterial therapies. In the present study, molecular simulation techniques were employed alongside experimental strategies to address and overcome the mechanism of dapsone resistance. In essence, we report the identification of small molecule compounds to effectively and specifically inhibit the growth of M. leprae through targeting dihydropteroate synthase, encoded by folP1 which is involved in folic acid synthesis. Initially, ADME and toxicity studies were employed to screen the lead compounds, using dapsone as standard drug. Subsequently, molecular docking was employed to understand the binding efficiency of dapsone and its lead compounds against folP1. Further, the activity of the screened lead molecule was studied by means of molecular dynamics simulation techniques. Furthermore, we synthesized 4-(2-fluorophenylsulfonyl)benzenamine, using (2-fluorophenyl)boronic acid and 4-aminobenzenesulfonyl chloride, and the compound structure was confirmed by (1)H NMR and (13)C NMR spectroscopic techniques. Most importantly, the antibacterial activity of the compound was also examined and compared against dapsone. Overall, the result from our analysis suggested that CID21480113 (4-(2-fluorophenylsulfonyl)benzenamine) could be developed into a promising lead compound and could be effective in treating dapsone resistant leprosy cases.


Assuntos
Dapsona/farmacologia , Di-Hidropteroato Sintase/genética , Descoberta de Drogas , Farmacorresistência Bacteriana , Hansenostáticos/farmacologia , Hanseníase/microbiologia , Mutação , Mycobacterium leprae/efeitos dos fármacos , Mycobacterium leprae/genética , Sequência de Aminoácidos , Sítios de Ligação , Dapsona/química , Di-Hidropteroato Sintase/química , Humanos , Hansenostáticos/química , Hanseníase/tratamento farmacológico , Testes de Sensibilidade Microbiana , Modelos Moleculares , Estrutura Molecular , Ligação Proteica , Conformação Proteica
3.
J Cell Biochem ; 116(7): 1278-85, 2015 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-25676141

RESUMO

Mycobacterium leprae, the etiologic agent of leprosy, is non-cultivable in vitro. Consequently, the assessment of antibiotic activity against M. leprae hinge mainly upon the time consuming mouse footpad system. As M. leprae develops resistance against most of the drugs, the evolution of new long acting antimycobacterial compounds stand in need for leprosy control. The rpoB of M. leprae is the target of antimycobacterial drug, rifampicin. Recently, cases were reported that rpoB mutation (S425L) became resistant to rifampicin and the mechanism of resistance is still not well understood. The present study is aimed at studying the molecular and structural mechanism of the rifampicin binding to both native and mutant rpoB through computational approaches. From molecular docking, we demonstrated the stable binding of rifampicin through two hydrogen bonding with His420 residue of native than with mutant rpoB where one hydrogen bonding was found with Ser406. The difference in binding energies observed in the docking study evidently signifies that rifampicin is less effective in the treatment of patients with S425L variant. Moreover, the molecular dynamics studies also highlight the stable binding of rifampicin with native than mutant (S425L) rpoB.


Assuntos
Antibacterianos/farmacologia , Proteínas de Bactérias/metabolismo , Biologia Computacional/métodos , Farmacorresistência Bacteriana , Mycobacterium leprae/genética , Rifampina/farmacologia , Proteínas de Bactérias/química , Proteínas de Bactérias/genética , Sítios de Ligação , Ligação de Hidrogênio , Leucina/metabolismo , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Mutação , Mycobacterium leprae/química , Mycobacterium leprae/efeitos dos fármacos , Mycobacterium leprae/metabolismo , Ligação Proteica , Serina/metabolismo
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