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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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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. |
format | Online Article Text |
id | pubmed-5470852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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