Publication Type
Journal
Journal Name
Journal of Chemical Information and Modeling
Publication Date
Page Numbers
676 to 685
Volume
47
Issue
2
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 automatic processing of microarray data to predict modes of action.
