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Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives

Topological-mathematical models based on multiple linear regression analyses have been built to predict the reaction yields and the anti-inflammatory activity of a set of heterocylic amidine derivatives, synthesized under environmental friendly conditions, using microwave irradiation. Two models wit...

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Detalles Bibliográficos
Autores principales: Pla-Franco, Jordi, Gálvez-Llompart, María, Gálvez, Jorge, García-Domenech, Ramón
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3083705/
https://www.ncbi.nlm.nih.gov/pubmed/21541058
http://dx.doi.org/10.3390/ijms12021281
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author Pla-Franco, Jordi
Gálvez-Llompart, María
Gálvez, Jorge
García-Domenech, Ramón
author_facet Pla-Franco, Jordi
Gálvez-Llompart, María
Gálvez, Jorge
García-Domenech, Ramón
author_sort Pla-Franco, Jordi
collection PubMed
description Topological-mathematical models based on multiple linear regression analyses have been built to predict the reaction yields and the anti-inflammatory activity of a set of heterocylic amidine derivatives, synthesized under environmental friendly conditions, using microwave irradiation. Two models with three variables each were selected. The models were validated by cross-validation and randomization tests. The final outcome demonstrates a good agreement between the predicted and experimental results, confirming the robustness of the method. These models also enabled the screening of virtual libraries for new amidine derivatives predicted to show higher values of reaction yields and anti-inflammatory activity.
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spelling pubmed-30837052011-05-03 Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives Pla-Franco, Jordi Gálvez-Llompart, María Gálvez, Jorge García-Domenech, Ramón Int J Mol Sci Article Topological-mathematical models based on multiple linear regression analyses have been built to predict the reaction yields and the anti-inflammatory activity of a set of heterocylic amidine derivatives, synthesized under environmental friendly conditions, using microwave irradiation. Two models with three variables each were selected. The models were validated by cross-validation and randomization tests. The final outcome demonstrates a good agreement between the predicted and experimental results, confirming the robustness of the method. These models also enabled the screening of virtual libraries for new amidine derivatives predicted to show higher values of reaction yields and anti-inflammatory activity. Molecular Diversity Preservation International (MDPI) 2011-02-22 /pmc/articles/PMC3083705/ /pubmed/21541058 http://dx.doi.org/10.3390/ijms12021281 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
Pla-Franco, Jordi
Gálvez-Llompart, María
Gálvez, Jorge
García-Domenech, Ramón
Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
title Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
title_full Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
title_fullStr Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
title_full_unstemmed Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
title_short Application of Molecular Topology for the Prediction of Reaction Yields and Anti-Inflammatory Activity of Heterocyclic Amidine Derivatives
title_sort application of molecular topology for the prediction of reaction yields and anti-inflammatory activity of heterocyclic amidine derivatives
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3083705/
https://www.ncbi.nlm.nih.gov/pubmed/21541058
http://dx.doi.org/10.3390/ijms12021281
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