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Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery

Leishmaniasis is a group of neglected infectious diseases, with approximately 1. 3 million new cases each year, for which the available therapies have serious limitations. Therefore, it is extremely important to apply efficient and low-cost methods capable of selecting the best therapeutic targets t...

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Autores principales: dos Santos Vasconcelos, Crhisllane Rafaele, Rezende, Antonio Mauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111926/
https://www.ncbi.nlm.nih.gov/pubmed/33987166
http://dx.doi.org/10.3389/fchem.2021.607139
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author dos Santos Vasconcelos, Crhisllane Rafaele
Rezende, Antonio Mauro
author_facet dos Santos Vasconcelos, Crhisllane Rafaele
Rezende, Antonio Mauro
author_sort dos Santos Vasconcelos, Crhisllane Rafaele
collection PubMed
description Leishmaniasis is a group of neglected infectious diseases, with approximately 1. 3 million new cases each year, for which the available therapies have serious limitations. Therefore, it is extremely important to apply efficient and low-cost methods capable of selecting the best therapeutic targets to speed up the development of new therapies against those diseases. Thus, we propose the use of integrated computational methods capable of evaluating the druggability of the predicted proteomes of Leishmania braziliensis and Leishmania infantum, species responsible for the different clinical manifestations of leishmaniasis in Brazil. The protein members of those proteomes were assessed based on their structural, chemical, and functional contexts applying methods that integrate data on molecular function, biological processes, subcellular localization, drug binding sites, druggability, and gene expression. These data were compared to those extracted from already known drug targets (BindingDB targets), which made it possible to evaluate Leishmania proteomes for their biological relevance and treatability. Through this methodology, we identified more than 100 proteins of each Leishmania species with druggability characteristics, and potential interaction with available drugs. Among those, 31 and 37 proteins of L. braziliensis and L. infantum, respectively, have never been tested as drug targets, and they have shown evidence of gene expression in the evolutionary stage of pharmacological interest. Also, some of those Leishmania targets showed an alignment similarity of <50% when compared to the human proteome, making these proteins pharmacologically attractive, as they present a reduced risk of side effects. The methodology used in this study also allowed the evaluation of opportunities for the repurposing of compounds as anti-leishmaniasis drugs, inferring potential interaction between Leishmania proteins and ~1,000 compounds, of which only 15 have already been tested as a treatment for leishmaniasis. Besides, a list of potential Leishmania targets to be tested using drugs described at BindingDB, such as the potential interaction of the DEAD box RNA helicase, TRYR, and PEPCK proteins with the Staurosporine compound, was made available to the public.
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spelling pubmed-81119262021-05-12 Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery dos Santos Vasconcelos, Crhisllane Rafaele Rezende, Antonio Mauro Front Chem Chemistry Leishmaniasis is a group of neglected infectious diseases, with approximately 1. 3 million new cases each year, for which the available therapies have serious limitations. Therefore, it is extremely important to apply efficient and low-cost methods capable of selecting the best therapeutic targets to speed up the development of new therapies against those diseases. Thus, we propose the use of integrated computational methods capable of evaluating the druggability of the predicted proteomes of Leishmania braziliensis and Leishmania infantum, species responsible for the different clinical manifestations of leishmaniasis in Brazil. The protein members of those proteomes were assessed based on their structural, chemical, and functional contexts applying methods that integrate data on molecular function, biological processes, subcellular localization, drug binding sites, druggability, and gene expression. These data were compared to those extracted from already known drug targets (BindingDB targets), which made it possible to evaluate Leishmania proteomes for their biological relevance and treatability. Through this methodology, we identified more than 100 proteins of each Leishmania species with druggability characteristics, and potential interaction with available drugs. Among those, 31 and 37 proteins of L. braziliensis and L. infantum, respectively, have never been tested as drug targets, and they have shown evidence of gene expression in the evolutionary stage of pharmacological interest. Also, some of those Leishmania targets showed an alignment similarity of <50% when compared to the human proteome, making these proteins pharmacologically attractive, as they present a reduced risk of side effects. The methodology used in this study also allowed the evaluation of opportunities for the repurposing of compounds as anti-leishmaniasis drugs, inferring potential interaction between Leishmania proteins and ~1,000 compounds, of which only 15 have already been tested as a treatment for leishmaniasis. Besides, a list of potential Leishmania targets to be tested using drugs described at BindingDB, such as the potential interaction of the DEAD box RNA helicase, TRYR, and PEPCK proteins with the Staurosporine compound, was made available to the public. Frontiers Media S.A. 2021-04-27 /pmc/articles/PMC8111926/ /pubmed/33987166 http://dx.doi.org/10.3389/fchem.2021.607139 Text en Copyright © 2021 dos Santos Vasconcelos and Rezende. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
dos Santos Vasconcelos, Crhisllane Rafaele
Rezende, Antonio Mauro
Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery
title Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery
title_full Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery
title_fullStr Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery
title_full_unstemmed Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery
title_short Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery
title_sort systematic in silico evaluation of leishmania spp. proteomes for drug discovery
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111926/
https://www.ncbi.nlm.nih.gov/pubmed/33987166
http://dx.doi.org/10.3389/fchem.2021.607139
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