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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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/. |
format | Online Article Text |
id | pubmed-5104412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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