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Modeling Natural Anti-Inflammatory Compounds by Molecular Topology
One of the main pharmacological problems today in the treatment of chronic inflammation diseases consists of the fact that anti-inflammatory drugs usually exhibit side effects. The natural products offer a great hope in the identification of bioactive lead compounds and their development into drugs...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3257142/ https://www.ncbi.nlm.nih.gov/pubmed/22272145 http://dx.doi.org/10.3390/ijms12129481 |
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author | Galvez-Llompart, María Zanni, Riccardo García-Domenech, Ramón |
author_facet | Galvez-Llompart, María Zanni, Riccardo García-Domenech, Ramón |
author_sort | Galvez-Llompart, María |
collection | PubMed |
description | One of the main pharmacological problems today in the treatment of chronic inflammation diseases consists of the fact that anti-inflammatory drugs usually exhibit side effects. The natural products offer a great hope in the identification of bioactive lead compounds and their development into drugs for treating inflammatory diseases. Computer-aided drug design has proved to be a very useful tool for discovering new drugs and, specifically, Molecular Topology has become a good technique for such a goal. A topological-mathematical model, obtained by linear discriminant analysis, has been developed for the search of new anti-inflammatory natural compounds. An external validation obtained with the remaining compounds (those not used in building up the model), has been carried out. Finally, a virtual screening on natural products was performed and 74 compounds showed actual anti-inflammatory activity. From them, 54 had been previously described as anti-inflammatory in the literature. This can be seen as a plus in the model validation and as a reinforcement of the role of Molecular Topology as an efficient tool for the discovery of new anti-inflammatory natural compounds. |
format | Online Article Text |
id | pubmed-3257142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32571422012-01-23 Modeling Natural Anti-Inflammatory Compounds by Molecular Topology Galvez-Llompart, María Zanni, Riccardo García-Domenech, Ramón Int J Mol Sci Article One of the main pharmacological problems today in the treatment of chronic inflammation diseases consists of the fact that anti-inflammatory drugs usually exhibit side effects. The natural products offer a great hope in the identification of bioactive lead compounds and their development into drugs for treating inflammatory diseases. Computer-aided drug design has proved to be a very useful tool for discovering new drugs and, specifically, Molecular Topology has become a good technique for such a goal. A topological-mathematical model, obtained by linear discriminant analysis, has been developed for the search of new anti-inflammatory natural compounds. An external validation obtained with the remaining compounds (those not used in building up the model), has been carried out. Finally, a virtual screening on natural products was performed and 74 compounds showed actual anti-inflammatory activity. From them, 54 had been previously described as anti-inflammatory in the literature. This can be seen as a plus in the model validation and as a reinforcement of the role of Molecular Topology as an efficient tool for the discovery of new anti-inflammatory natural compounds. Molecular Diversity Preservation International (MDPI) 2011-12-20 /pmc/articles/PMC3257142/ /pubmed/22272145 http://dx.doi.org/10.3390/ijms12129481 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Galvez-Llompart, María Zanni, Riccardo García-Domenech, Ramón Modeling Natural Anti-Inflammatory Compounds by Molecular Topology |
title | Modeling Natural Anti-Inflammatory Compounds by Molecular Topology |
title_full | Modeling Natural Anti-Inflammatory Compounds by Molecular Topology |
title_fullStr | Modeling Natural Anti-Inflammatory Compounds by Molecular Topology |
title_full_unstemmed | Modeling Natural Anti-Inflammatory Compounds by Molecular Topology |
title_short | Modeling Natural Anti-Inflammatory Compounds by Molecular Topology |
title_sort | modeling natural anti-inflammatory compounds by molecular topology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3257142/ https://www.ncbi.nlm.nih.gov/pubmed/22272145 http://dx.doi.org/10.3390/ijms12129481 |
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