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Publication Detail
QSAR approach for mixture toxicity prediction using independent latent descriptors and fuzzy membership functions
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Publication Type:Journal article
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Publication Sub Type:Article
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Authors:Mwense M, Wang XZ, Buontempo FV, Horan N, Young A, Osborn D
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Publisher:TAYLOR & FRANCIS LTD
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Publication date:01/02/2006
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Pagination:53, 73
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Journal:SAR AND QSAR IN ENVIRONMENTAL RESEARCH
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Volume:17
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Issue:1
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Status:Published
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Country:Shanghai, PEOPLES R CHINA
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Print ISSN:1062-936X
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Language:English
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Keywords:Science & Technology, Physical Sciences, Technology, Life Sciences & Biomedicine, Chemistry, Multidisciplinary, Computer Science, Interdisciplinary Applications, Environmental Sciences, Mathematical & Computational Biology, Toxicology, Chemistry, Computer Science, Environmental Sciences & Ecology, mixture toxicity, mixture QSAR, ecotoxicity, environmental risk assessment, FIXED-POINT ALGORITHM, JOINT ALGAL TOXICITY, COMPONENT ANALYSIS, MOLECULAR DESCRIPTORS, ACTING CHEMICALS, PREDICTABILITY
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Addresses:University of Leeds
Sch Civil Engn
Leeds
W Yorkshire
England
LS2 9JT
AstraZeneca UK Ltd
Brixham Environm Lab
Brixham
Devon
England
TQ5 8BA
Ctr Ecol & Hydrol
Huntingdon
England
PE28 2LS
Abstract
No abstract found
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