Predicting acute toxicity (LC50) of benzene derivatives using theoretical molecular descriptors: a hierarchical QSAR approach.

B. D. Gute; S. C. Basak

doi:10.1080/10629369708039127

Predicting acute toxicity (LC50) of benzene derivatives using theoretical molecular descriptors: a hierarchical QSAR approach.

B. D. Gute, S. C. Basak

Research output: Contribution to journal › Article › peer-review

69 Scopus citations

Abstract

Four classes of theoretical structural parameters, viz., topostructural, topochemical, geometrical and quantum chemical descriptors, have been used in the development of quantitative structure-activity relationship (QSAR) models for a set of sixty-nine benzene derivatives. None of the individual classes of parameters was very effective in predicting toxicity. A hierarchical approach was followed in using a combination of the four classes of indices in QSAR model development. The results show that the hierarchical QSAR approach using the algorithmically derived molecular descriptors can estimate the LC50 values of the benzene derivatives reasonably well.

Original language	English (US)
Pages (from-to)	117-131
Number of pages	15
Journal	SAR and QSAR in environmental research
Volume	7
Issue number	1-4
DOIs	https://doi.org/10.1080/10629369708039127
State	Published - 1997
Externally published	Yes

Bibliographical note

Funding Information:
This is contribution number 213 from the Center for Water and the Environment of the Natural Resources Research Institute. Research reported in this paper was supported in part by grants F49620-94-1-0401 and F49620-96-1-0330 from the United States Air Force, a grant from

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abstract = "Four classes of theoretical structural parameters, viz., topostructural, topochemical, geometrical and quantum chemical descriptors, have been used in the development of quantitative structure-activity relationship (QSAR) models for a set of sixty-nine benzene derivatives. None of the individual classes of parameters was very effective in predicting toxicity. A hierarchical approach was followed in using a combination of the four classes of indices in QSAR model development. The results show that the hierarchical QSAR approach using the algorithmically derived molecular descriptors can estimate the LC50 values of the benzene derivatives reasonably well.",

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doi = "10.1080/10629369708039127",

language = "English (US)",

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T1 - Predicting acute toxicity (LC50) of benzene derivatives using theoretical molecular descriptors

T2 - a hierarchical QSAR approach.

AU - Gute, B. D.

AU - Basak, S. C.

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PY - 1997

Y1 - 1997

N2 - Four classes of theoretical structural parameters, viz., topostructural, topochemical, geometrical and quantum chemical descriptors, have been used in the development of quantitative structure-activity relationship (QSAR) models for a set of sixty-nine benzene derivatives. None of the individual classes of parameters was very effective in predicting toxicity. A hierarchical approach was followed in using a combination of the four classes of indices in QSAR model development. The results show that the hierarchical QSAR approach using the algorithmically derived molecular descriptors can estimate the LC50 values of the benzene derivatives reasonably well.

AB - Four classes of theoretical structural parameters, viz., topostructural, topochemical, geometrical and quantum chemical descriptors, have been used in the development of quantitative structure-activity relationship (QSAR) models for a set of sixty-nine benzene derivatives. None of the individual classes of parameters was very effective in predicting toxicity. A hierarchical approach was followed in using a combination of the four classes of indices in QSAR model development. The results show that the hierarchical QSAR approach using the algorithmically derived molecular descriptors can estimate the LC50 values of the benzene derivatives reasonably well.

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Predicting acute toxicity (LC50) of benzene derivatives using theoretical molecular descriptors: a hierarchical QSAR approach.

Abstract

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