A Computational Approach Using Bioinformatics to Screening Drug Targets for Leishmania infantum Species.

ABSTRACT:

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 th

SUBMITTER: Chavez-Fumagalli MA 

PROVIDER: S-EPMC5896251 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature