Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?

Assessing the ecotoxicity of pharmaceuticals is of urgent need due to the recognition of their possible adverse effects on nontarget organisms in the aquatic environment. The reality of ecotoxicity data scarcity promotes the development and application of quantitative structure activity relationship...

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Autores principales: Qingwei Bu, Qingshan Li, Yun Liu, Chun Cai
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/43474af22a624b58ae7b753a5afceab3
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spelling oai:doaj.org-article:43474af22a624b58ae7b753a5afceab32021-11-08T02:36:51ZPerformance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?2090-907110.1155/2021/5563066https://doaj.org/article/43474af22a624b58ae7b753a5afceab32021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5563066https://doaj.org/toc/2090-9071Assessing the ecotoxicity of pharmaceuticals is of urgent need due to the recognition of their possible adverse effects on nontarget organisms in the aquatic environment. The reality of ecotoxicity data scarcity promotes the development and application of quantitative structure activity relationship (QSAR) models. In the present study, we aimed to clarify whether a QSAR model of ecotoxicity specifically for pharmaceuticals is needed considering that pharmaceuticals are a class of chemicals with complex structures, multiple functional groups, and reactive properties. To this end, we conducted a performance comparison of two previously developed and validated QSAR models specifically for pharmaceuticals with the commonly used narcosis toxicity prediction model, i.e., Ecological Structure Activity Relationship (ECOSAR), using a subset of pharmaceuticals produced in China that had not been included in the training datasets of QSAR models under consideration. A variety of statistical measures demonstrated that the pharmaceutical specific model outperformed ECOSAR, indicating the necessity of developing a specific QSAR model of ecotoxicity for the active pharmaceutical contaminants. ECOSAR, which was generally used to predict the baseline or the minimum toxicity of a compound, generally underestimated the ecotoxicity of the analyzed pharmaceuticals. This could possibly be because some pharmaceuticals can react through specific modes of action. Nonetheless, it should be noted that 95% prediction intervals spread over approximately four orders of magnitude for both tested QSAR models specifically for pharmaceuticals.Qingwei BuQingshan LiYun LiuChun CaiHindawi LimitedarticleChemistryQD1-999ENJournal of Chemistry, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Chemistry
QD1-999
spellingShingle Chemistry
QD1-999
Qingwei Bu
Qingshan Li
Yun Liu
Chun Cai
Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?
description Assessing the ecotoxicity of pharmaceuticals is of urgent need due to the recognition of their possible adverse effects on nontarget organisms in the aquatic environment. The reality of ecotoxicity data scarcity promotes the development and application of quantitative structure activity relationship (QSAR) models. In the present study, we aimed to clarify whether a QSAR model of ecotoxicity specifically for pharmaceuticals is needed considering that pharmaceuticals are a class of chemicals with complex structures, multiple functional groups, and reactive properties. To this end, we conducted a performance comparison of two previously developed and validated QSAR models specifically for pharmaceuticals with the commonly used narcosis toxicity prediction model, i.e., Ecological Structure Activity Relationship (ECOSAR), using a subset of pharmaceuticals produced in China that had not been included in the training datasets of QSAR models under consideration. A variety of statistical measures demonstrated that the pharmaceutical specific model outperformed ECOSAR, indicating the necessity of developing a specific QSAR model of ecotoxicity for the active pharmaceutical contaminants. ECOSAR, which was generally used to predict the baseline or the minimum toxicity of a compound, generally underestimated the ecotoxicity of the analyzed pharmaceuticals. This could possibly be because some pharmaceuticals can react through specific modes of action. Nonetheless, it should be noted that 95% prediction intervals spread over approximately four orders of magnitude for both tested QSAR models specifically for pharmaceuticals.
format article
author Qingwei Bu
Qingshan Li
Yun Liu
Chun Cai
author_facet Qingwei Bu
Qingshan Li
Yun Liu
Chun Cai
author_sort Qingwei Bu
title Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?
title_short Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?
title_full Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?
title_fullStr Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?
title_full_unstemmed Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?
title_sort performance comparison between the specific and baseline prediction models of ecotoxicity for pharmaceuticals: is a specific qsar model inevitable?
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/43474af22a624b58ae7b753a5afceab3
work_keys_str_mv AT qingweibu performancecomparisonbetweenthespecificandbaselinepredictionmodelsofecotoxicityforpharmaceuticalsisaspecificqsarmodelinevitable
AT qingshanli performancecomparisonbetweenthespecificandbaselinepredictionmodelsofecotoxicityforpharmaceuticalsisaspecificqsarmodelinevitable
AT yunliu performancecomparisonbetweenthespecificandbaselinepredictionmodelsofecotoxicityforpharmaceuticalsisaspecificqsarmodelinevitable
AT chuncai performancecomparisonbetweenthespecificandbaselinepredictionmodelsofecotoxicityforpharmaceuticalsisaspecificqsarmodelinevitable
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