A Toxicity Evaluation and Predictive System Based on Neural Networks and Wavelets
Journal Article
·
· Journal of Chemical Information and Modeling
- ORNL
- YAHSGS LLC, Richland, WA
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 automatic processing of microarray data to predict modes of action.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- Work for Others (WFO)
- DOE Contract Number:
- DE-AC05-00OR22725
- OSTI ID:
- 931473
- Journal Information:
- Journal of Chemical Information and Modeling, Vol. 47, Issue 2
- Country of Publication:
- United States
- Language:
- English
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