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https://locus.ufv.br//handle/123456789/24394
Tipo: | Artigo |
Título: | A computational approach using bioinformatics to screening drug targets for Leishmania infantum species |
Autor(es): | Leite, João Paulo Viana Chávez-Fumagalli, Miguel Angel Schneider, Mônica Santos Lage, Daniela Pagliara Tavares, Grasiele de Sousa Vieira Mendonça, Débora Vasconcelos Costa Santos, Thaís Teodoro de Oliveira Pádua, Rodrigo Maia Machado-de-Ávila, Ricardo Andrez Coelho, Eduardo Antonio Ferraz |
Abstract: | The development of new therapeutic strategies to treat patients for leishmaniasis has become a priority. The antileishmanial activity of the strychnobiflavone flavonoid was recently demonstrated against Leishmania amazonensis and Leishmania infantum amastigotes and promastigotes. The biological effect of this molecule was identified due to its capacity to interfere in the parasite mitochondrial membrane; however, the underlying molecular mechanism remains unclear. In this study, a computational approach using bioinformatics was performed to screen biological targets of strychnobiflavone in L. infantum. Computational programs, such as the target fishing approach and molecular docking assays, were used. Results showed that the putative pathway targeted by strychnobiflavone in L. infantum is the methylglyoxal degradation superpathway, and one hydrolase-like protein was predicted to be the molecular target of this flavonoid in the parasites.In this context, this study provides the basis for understanding the mechanism of action of strychnobiflavone in L. infantum and presents a strategy based on bioinformatics programs to screen targets of other molecules with biological action against distinct pathogens. |
Palavras-chave: | Bioinformatics Leishmania infantum |
Editor: | Evidence-Based Complementary and Alternative Medicine |
Tipo de Acesso: | Open Access |
URI: | https://doi.org/10.1155/2018/6813467 http://www.locus.ufv.br/handle/123456789/24394 |
Data do documento: | 2018 |
Aparece nas coleções: | Artigos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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artigo.pdf | texto completo | 1,61 MB | Adobe PDF | Visualizar/Abrir |
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