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A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major

We present an approach for detecting enzymes that are specific of Leishmania major compared with Homo sapiens and provide targets that may assist research in drug development. This approach is based on traditional techniques of sequence homology comparison by similarity search and Markov modeling; i...

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Autores principales: Catharina, Larissa, Lima, Carlyle Ribeiro, Franca, Alexander, Guimarães, Ana Carolina Ramos, Alves-Ferreira, Marcelo, Tuffery, Pierre, Derreumaux, Philippe, Carels, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470852/
https://www.ncbi.nlm.nih.gov/pubmed/28638238
http://dx.doi.org/10.1177/1177932217712471
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author Catharina, Larissa
Lima, Carlyle Ribeiro
Franca, Alexander
Guimarães, Ana Carolina Ramos
Alves-Ferreira, Marcelo
Tuffery, Pierre
Derreumaux, Philippe
Carels, Nicolas
author_facet Catharina, Larissa
Lima, Carlyle Ribeiro
Franca, Alexander
Guimarães, Ana Carolina Ramos
Alves-Ferreira, Marcelo
Tuffery, Pierre
Derreumaux, Philippe
Carels, Nicolas
author_sort Catharina, Larissa
collection PubMed
description We present an approach for detecting enzymes that are specific of Leishmania major compared with Homo sapiens and provide targets that may assist research in drug development. This approach is based on traditional techniques of sequence homology comparison by similarity search and Markov modeling; it integrates the characterization of enzymatic functionality, secondary and tertiary protein structures, protein domain architecture, and metabolic environment. From 67 enzymes represented by 42 enzymatic activities classified by AnEnPi (Analogous Enzymes Pipeline) as specific for L major compared with H sapiens, only 40 (23 Enzyme Commission [EC] numbers) could actually be considered as strictly specific of L major and 27 enzymes (19 EC numbers) were disregarded for having ambiguous homologies or analogies with H sapiens. Among the 40 strictly specific enzymes, we identified sterol 24-C-methyltransferase, pyruvate phosphate dikinase, trypanothione synthetase, and RNA-editing ligase as 4 essential enzymes for L major that may serve as targets for drug development.
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spelling pubmed-54708522017-06-21 A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major Catharina, Larissa Lima, Carlyle Ribeiro Franca, Alexander Guimarães, Ana Carolina Ramos Alves-Ferreira, Marcelo Tuffery, Pierre Derreumaux, Philippe Carels, Nicolas Bioinform Biol Insights Methodology We present an approach for detecting enzymes that are specific of Leishmania major compared with Homo sapiens and provide targets that may assist research in drug development. This approach is based on traditional techniques of sequence homology comparison by similarity search and Markov modeling; it integrates the characterization of enzymatic functionality, secondary and tertiary protein structures, protein domain architecture, and metabolic environment. From 67 enzymes represented by 42 enzymatic activities classified by AnEnPi (Analogous Enzymes Pipeline) as specific for L major compared with H sapiens, only 40 (23 Enzyme Commission [EC] numbers) could actually be considered as strictly specific of L major and 27 enzymes (19 EC numbers) were disregarded for having ambiguous homologies or analogies with H sapiens. Among the 40 strictly specific enzymes, we identified sterol 24-C-methyltransferase, pyruvate phosphate dikinase, trypanothione synthetase, and RNA-editing ligase as 4 essential enzymes for L major that may serve as targets for drug development. SAGE Publications 2017-06-12 /pmc/articles/PMC5470852/ /pubmed/28638238 http://dx.doi.org/10.1177/1177932217712471 Text en © The Author(s) 2017 This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Methodology
Catharina, Larissa
Lima, Carlyle Ribeiro
Franca, Alexander
Guimarães, Ana Carolina Ramos
Alves-Ferreira, Marcelo
Tuffery, Pierre
Derreumaux, Philippe
Carels, Nicolas
A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major
title A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major
title_full A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major
title_fullStr A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major
title_full_unstemmed A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major
title_short A Computational Methodology to Overcome the Challenges Associated With the Search for Specific Enzyme Targets to Develop Drugs Against Leishmania major
title_sort computational methodology to overcome the challenges associated with the search for specific enzyme targets to develop drugs against leishmania major
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470852/
https://www.ncbi.nlm.nih.gov/pubmed/28638238
http://dx.doi.org/10.1177/1177932217712471
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