2007
DOI: 10.1021/ci6004788
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A Toxicity Evaluation and Predictive System Based on Neural Networks and Wavelets

Abstract: A computational approach has been developed for performing efficient and reasonably accurate toxicity evaluation and prediction. The approach is based on computational neural networks linked to modern computational chemistry and wavelet methods. In this paper, we present details of this approach and results demonstrating its accuracy and flexibility for predicting diverse biological endpoints including metabolic processes, mode of action, and hepato- and neurotoxicity. The approach also can be used for automat… Show more

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Cited by 17 publications
(16 citation statements)
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“…A WNN, which logically connects an artificial NN with wavelet decomposition [34], is based on a novel NN structure and involves the WT. The network topology structure of the WNN is shown in Figure 2.…”
Section: Wavelet Neural Networkmentioning
confidence: 99%
“…A WNN, which logically connects an artificial NN with wavelet decomposition [34], is based on a novel NN structure and involves the WT. The network topology structure of the WNN is shown in Figure 2.…”
Section: Wavelet Neural Networkmentioning
confidence: 99%
“…Regardless of how good QSAR systems become, they cannot be used as a unique substitute for animal testing. For informative reviews and applications of QSAR systems as predictors of genotoxicology, see [Barratt and Rodford, 2001;He et al, 2003;Mosier et al, 2003;Votano et al, 2004;Rothfuss et al, 2006;Piotrowski et al, 2007;Papa et al, 2008].…”
Section: The1990smentioning
confidence: 99%
“…Therefore if general analysis method is used, this will greatly depend on the experience [4,5]. The wavelet transform is being used in chemistry and its related domain in recent years [6][7][8][9][10][11]. Ehrentreich, F. pointed out that the wavelet transform has been established with the Fourier transform as a data-processing method in analytical chemistry [6].…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers also used continuous wavelet transform to analyze the signal of chemistry [9]. In recent years, some researchers also combine the wavelet transform with other some intelligent technique to analyze the signal of chemistry [10][11].…”
Section: Introductionmentioning
confidence: 99%