2024
DOI: 10.1021/acs.est.3c05643
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Chemical Space Covered by Applicability Domains of Quantitative Structure–Property Relationships and Semiempirical Relationships in Chemical Assessments

Zhizhen Zhang,
Alessandro Sangion,
Shenghong Wang
et al.

Abstract: A significant number of chemicals registered in national and regional chemical inventories require assessments of their potential "hazard" concerns posed to humans and ecological receptors. This warrants knowledge of their partitioning and reactivity properties, which are often predicted by quantitative structure−property relationships (QSPRs) and other semiempirical relationships. It is imperative to evaluate the applicability domain (AD) of these tools to ensure their suitability for assessment purpose. Here… Show more

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Cited by 3 publications
(3 citation statements)
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“…Using consistent approaches to obtain properties for both the complex and the simplified methods ensured a meaningful comparison. Although COSMOtherm, based on quantum chemistry, is typically assumed to have an “infinite” applicability domain, and the other methods exhibit broad applicability domains (e.g., at least 95, 97.3, 55.1, and 80.8% of 10,855 organochlorine chemicals fall within the applicability domains of QSARINS and EPI Suite predictions for HL biofish , HL biohuman , HL air , and HL water , respectively), we cannot rule out the possibility that these QSAR models might predict extreme property values outside their applicability domain, and thus result in unknown impact on the process of calculating medians. In addition, while COSMOtherm can predict partition properties with an isomer-specific resolution, the methods used for degradation and biotransformation properties may not, which could introduce uncertainty into exposure estimations.…”
Section: Resultsmentioning
confidence: 99%
“…Using consistent approaches to obtain properties for both the complex and the simplified methods ensured a meaningful comparison. Although COSMOtherm, based on quantum chemistry, is typically assumed to have an “infinite” applicability domain, and the other methods exhibit broad applicability domains (e.g., at least 95, 97.3, 55.1, and 80.8% of 10,855 organochlorine chemicals fall within the applicability domains of QSARINS and EPI Suite predictions for HL biofish , HL biohuman , HL air , and HL water , respectively), we cannot rule out the possibility that these QSAR models might predict extreme property values outside their applicability domain, and thus result in unknown impact on the process of calculating medians. In addition, while COSMOtherm can predict partition properties with an isomer-specific resolution, the methods used for degradation and biotransformation properties may not, which could introduce uncertainty into exposure estimations.…”
Section: Resultsmentioning
confidence: 99%
“…It is imperative to avoid overlapping and irrelevant data while ensuring the quality of the modeling sets and the resulting model performance . Many modeling studies employ general molecular descriptors as features, such as properties, electron distribution, and geometrical descriptors, which can capture predefined chemical and structural features, as demonstrated in this study and others. ,, However, limitations arise when dealing with chemicals possessing complex structures like PFASs and OPEs, as binary molecular discriptors may not fully express structural differences, necessitating improvements in comprehensive and suitable structure feature expressions as the types of chemicals increase, even to predict the properties for organic chemicals . Furthermore, the variability in experimental conditions and techniques used to generate epidemiological data across studies can lead to issues of scale, quality, and reliability, thereby affecting model performance and prediction accuracy .…”
Section: Perspectivesmentioning
confidence: 96%
“…Some special cases are also defined, UL 4 means that all fragments in the QSPR have a count of zero for the chemical, this may be a defined as in or out of the AD depending on the meaning of the intercept. UL 5 is the third complementary AD approach and has been described as a "denylist" AD check [47], but also might be described as a negative domain check, or inverse structural alerts. All the information about atoms and bonds in the training dataset is summarized regardless of whether the exact substructures are included in the fragments selected for the QSPR.…”
Section: Ifsqsar Description and Admentioning
confidence: 99%