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Comparison of various methods for validity evaluation of QSAR models
BACKGROUND: Quantitative structure–activity relationship (QSAR) modeling is one of the most important computational tools employed in drug discovery and development. The external validation of QSAR models is the main point to check the reliability of developed models for the prediction activity of n...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396839/ https://www.ncbi.nlm.nih.gov/pubmed/35999611 http://dx.doi.org/10.1186/s13065-022-00856-4 |
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author | Shayanfar, Shadi Shayanfar, Ali |
author_facet | Shayanfar, Shadi Shayanfar, Ali |
author_sort | Shayanfar, Shadi |
collection | PubMed |
description | BACKGROUND: Quantitative structure–activity relationship (QSAR) modeling is one of the most important computational tools employed in drug discovery and development. The external validation of QSAR models is the main point to check the reliability of developed models for the prediction activity of not yet synthesized compounds. It was performed by different criteria in the literature. METHODS: In this study, 44 reported QSAR models for biologically active compounds reported in scientific papers were collected. Various statistical parameters of external validation of a QSAR model were calculated, and the results were discussed. RESULTS: The findings revealed that employing the coefficient of determination (r(2)) alone could not indicate the validity of a QSAR model. The established criteria for external validation have some advantages and disadvantages which should be considered in QSAR studies. CONCLUSION: This study showed that these methods alone are not only enough to indicate the validity/invalidity of a QSAR model. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13065-022-00856-4. |
format | Online Article Text |
id | pubmed-9396839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93968392022-08-24 Comparison of various methods for validity evaluation of QSAR models Shayanfar, Shadi Shayanfar, Ali BMC Chem Research BACKGROUND: Quantitative structure–activity relationship (QSAR) modeling is one of the most important computational tools employed in drug discovery and development. The external validation of QSAR models is the main point to check the reliability of developed models for the prediction activity of not yet synthesized compounds. It was performed by different criteria in the literature. METHODS: In this study, 44 reported QSAR models for biologically active compounds reported in scientific papers were collected. Various statistical parameters of external validation of a QSAR model were calculated, and the results were discussed. RESULTS: The findings revealed that employing the coefficient of determination (r(2)) alone could not indicate the validity of a QSAR model. The established criteria for external validation have some advantages and disadvantages which should be considered in QSAR studies. CONCLUSION: This study showed that these methods alone are not only enough to indicate the validity/invalidity of a QSAR model. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13065-022-00856-4. Springer International Publishing 2022-08-23 /pmc/articles/PMC9396839/ /pubmed/35999611 http://dx.doi.org/10.1186/s13065-022-00856-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shayanfar, Shadi Shayanfar, Ali Comparison of various methods for validity evaluation of QSAR models |
title | Comparison of various methods for validity evaluation of QSAR models |
title_full | Comparison of various methods for validity evaluation of QSAR models |
title_fullStr | Comparison of various methods for validity evaluation of QSAR models |
title_full_unstemmed | Comparison of various methods for validity evaluation of QSAR models |
title_short | Comparison of various methods for validity evaluation of QSAR models |
title_sort | comparison of various methods for validity evaluation of qsar models |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396839/ https://www.ncbi.nlm.nih.gov/pubmed/35999611 http://dx.doi.org/10.1186/s13065-022-00856-4 |
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