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Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective
Although, coumarins are a group of compounds which are naturally found in some plants, they can be synthetically produced as well. Because of their diverse derivatives, origin and properties most of them can be used for medicinal purposes. For example, they can be used against fungal diseases or in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Avicenna Research Institute
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558124/ https://www.ncbi.nlm.nih.gov/pubmed/23407575 |
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author | Soltani, Saeed Dianat, Shima Sardari, Soroush |
author_facet | Soltani, Saeed Dianat, Shima Sardari, Soroush |
author_sort | Soltani, Saeed |
collection | PubMed |
description | Although, coumarins are a group of compounds which are naturally found in some plants, they can be synthetically produced as well. Because of their diverse derivatives, origin and properties most of them can be used for medicinal purposes. For example, they can be used against fungal diseases or in studying structure and biological properties of antifungal agents to discover new compounds with the similar activity. A Structure Property/Activity Relationship (SAR) can be utilized in prediction of biological activity of desired molecules. In order to represent a relationship between the physicochemical properties of coumarin compounds and their biological activities, 68 coumarins and coumarin derivatives with already reported antifungal activities were selected and eleven attributes were generated. The descriptors were used to perform artificial neural network (ANN) and to build a model for predicting effectiveness of the new ones. The correlation coefficient between the experimental and the predicted MIC values pertaining to all the coumarins was 0.984. This study paves the way for further researches about antifungal activity of coumarins, and offers a powerful tool in modeling and prediction of their bioactivities. |
format | Online Article Text |
id | pubmed-3558124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Avicenna Research Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-35581242013-02-13 Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective Soltani, Saeed Dianat, Shima Sardari, Soroush Avicenna J Med Biotechnol Original Article Although, coumarins are a group of compounds which are naturally found in some plants, they can be synthetically produced as well. Because of their diverse derivatives, origin and properties most of them can be used for medicinal purposes. For example, they can be used against fungal diseases or in studying structure and biological properties of antifungal agents to discover new compounds with the similar activity. A Structure Property/Activity Relationship (SAR) can be utilized in prediction of biological activity of desired molecules. In order to represent a relationship between the physicochemical properties of coumarin compounds and their biological activities, 68 coumarins and coumarin derivatives with already reported antifungal activities were selected and eleven attributes were generated. The descriptors were used to perform artificial neural network (ANN) and to build a model for predicting effectiveness of the new ones. The correlation coefficient between the experimental and the predicted MIC values pertaining to all the coumarins was 0.984. This study paves the way for further researches about antifungal activity of coumarins, and offers a powerful tool in modeling and prediction of their bioactivities. Avicenna Research Institute 2009 /pmc/articles/PMC3558124/ /pubmed/23407575 Text en Copyright © 2009 Avicenna Research Institute http://creativecommons.org/licenses/by-nc/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article Soltani, Saeed Dianat, Shima Sardari, Soroush Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective |
title | Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective |
title_full | Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective |
title_fullStr | Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective |
title_full_unstemmed | Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective |
title_short | Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective |
title_sort | forward modeling of the coumarin antifungals; spr/sar based perspective |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558124/ https://www.ncbi.nlm.nih.gov/pubmed/23407575 |
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