title: Predicting acute toxicity (LC50) of benzene derivatives using theoretical molecular descriptors: a hierarchical QSAR approach.
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.
authors.affiliation: Natural Resources Research Institute, University of Minnesota 55811, USA.
authors.forename: B D
authors.initials: BD
authors.lastname: Gute
authors.forename: S C
authors.initials: SC
authors.lastname: Basak
mesh_terms: D000465:Algorithms; D000818:Animals; D001555:Benzene Derivatives / Q000633:toxicity*; D003530:Cyprinidae; D005544:Forecasting; D007928:Lethal Dose 50; D013329:Structure-Activity Relationship; D018675:Toxicity Tests / Q000379:methods*; D014874:Water Pollutants, Chemical / Q000633:toxicity*
chemical_list: D001555:Benzene Derivatives; D014874:Water Pollutants, Chemical