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

B. D. Gute, S. C. Basak

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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.

Original languageEnglish (US)
Pages (from-to)117-131
Number of pages15
JournalSAR and QSAR in environmental research
Volume7
Issue number1-4
DOIs
StatePublished - 1997

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

Copyright:
This record is sourced from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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