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BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis

The reliability of quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) models is often difficult to assess due to the problems of accessing the tools and data used to build the models. We present here BioPPSy, which aims to fill this gap by pro...

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Detalles Bibliográficos
Autores principales: Enciso, Marta, Meftahi, Nastaran, Walker, Michael L., Smith, Brian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104412/
https://www.ncbi.nlm.nih.gov/pubmed/27832156
http://dx.doi.org/10.1371/journal.pone.0166298
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author Enciso, Marta
Meftahi, Nastaran
Walker, Michael L.
Smith, Brian J.
author_facet Enciso, Marta
Meftahi, Nastaran
Walker, Michael L.
Smith, Brian J.
author_sort Enciso, Marta
collection PubMed
description The reliability of quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) models is often difficult to assess due to the problems of accessing the tools and data used to build the models. We present here BioPPSy, which aims to fill this gap by providing an easy-to-use open-source software platform. We demonstrate the program capabilities by calculating three key properties used in drug discovery, aqueous solubility, Caco-2 cell permeability and blood-brain barrier permeability. A comparison is made with a number of previously reported methods, taken from the literature, for each property. The software, including source code, current models and databases, is available from https://sourceforge.net/projects/bioppsy/.
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spelling pubmed-51044122016-12-08 BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis Enciso, Marta Meftahi, Nastaran Walker, Michael L. Smith, Brian J. PLoS One Research Article The reliability of quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) models is often difficult to assess due to the problems of accessing the tools and data used to build the models. We present here BioPPSy, which aims to fill this gap by providing an easy-to-use open-source software platform. We demonstrate the program capabilities by calculating three key properties used in drug discovery, aqueous solubility, Caco-2 cell permeability and blood-brain barrier permeability. A comparison is made with a number of previously reported methods, taken from the literature, for each property. The software, including source code, current models and databases, is available from https://sourceforge.net/projects/bioppsy/. Public Library of Science 2016-11-10 /pmc/articles/PMC5104412/ /pubmed/27832156 http://dx.doi.org/10.1371/journal.pone.0166298 Text en © 2016 Enciso et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Enciso, Marta
Meftahi, Nastaran
Walker, Michael L.
Smith, Brian J.
BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
title BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
title_full BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
title_fullStr BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
title_full_unstemmed BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
title_short BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis
title_sort bioppsy: an open-source platform for qsar/qspr analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104412/
https://www.ncbi.nlm.nih.gov/pubmed/27832156
http://dx.doi.org/10.1371/journal.pone.0166298
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