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A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species
Joint Authors
Leite, João Paulo Viana
Pagliara Lage, Daniela
Coelho, Eduardo Antonio Ferraz
Machado de Avila, Ricardo Andrez
Chávez-Fumagalli, Miguel Angel
Schneider, Mônica Santos
Tavares, Grasiele de Sousa Vieira
Mendonça, Débora Vasconcelos Costa
Santos, Thaís Teodoro de Oliveira
Pádua, Rodrigo Maia de
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Background.
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.
Methods and Results.
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.
Conclusion.
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.
American Psychological Association (APA)
Chávez-Fumagalli, Miguel Angel& Schneider, Mônica Santos& Pagliara Lage, Daniela& Tavares, Grasiele de Sousa Vieira& Mendonça, Débora Vasconcelos Costa& Santos, Thaís Teodoro de Oliveira…[et al.]. 2018. A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species. Evidence-Based Complementary and Alternative Medicine،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1156041
Modern Language Association (MLA)
Chávez-Fumagalli, Miguel Angel…[et al.]. A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species. Evidence-Based Complementary and Alternative Medicine No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1156041
American Medical Association (AMA)
Chávez-Fumagalli, Miguel Angel& Schneider, Mônica Santos& Pagliara Lage, Daniela& Tavares, Grasiele de Sousa Vieira& Mendonça, Débora Vasconcelos Costa& Santos, Thaís Teodoro de Oliveira…[et al.]. A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species. Evidence-Based Complementary and Alternative Medicine. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1156041
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156041