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Copyright © 2015 Juliana Perrone Bezerra de Menezes et al. Juliana Perrone Bezerra de Menezes et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Leishmaniasis is a neglected infectious disease caused by several different species of protozoan parasites of the genus Leishmania. Current strategies to control this disease are mainly based on chemotherapy. Despite being available for the last 70 years, leishmanial chemotherapy has lack of efficiency, since its route of administration is difficult and it can cause serious side effects, which results in the emergence of resistant cases. The medical-scientific community is facing difficulties to overcome these problems with new suitable and efficient drugs, as well as the identification of new drug targets. The availability of the complete genome sequence of Leishmania has given the scientific community the possibility of large-scale analysis, which may lead to better understanding of parasite biology and consequent identification of novel drug targets. In this review we focus on how high-throughput analysis is helping us and other groups to identify novel targets for chemotherapeutic interventions. We further discuss recent data produced by our group regarding the use of the high-throughput techniques and how this helped us to identify and assess the potential of new identified targets.

Details

Title
Advances in Development of New Treatment for Leishmaniasis
Author
Juliana Perrone Bezerra de Menezes; Sampaio Guedes, Carlos Eduardo; Antônio Luis de Oliveira Almeida Petersen; Deborah Bittencourt Mothe Fraga; Patricia Sampaio Tavares Veras
Publication year
2015
Publication date
2015
Publisher
John Wiley & Sons, Inc.
ISSN
23146133
e-ISSN
23146141
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1682843712
Copyright
Copyright © 2015 Juliana Perrone Bezerra de Menezes et al. Juliana Perrone Bezerra de Menezes et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.