A toxicity evaluation and predictive system based on neural networks and wavelets.
J Chem Inf Model
; 47(2): 676-85, 2007.
Article
in En
| MEDLINE
| ID: mdl-17295465
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.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Toxicology
/
Neural Networks, Computer
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
J Chem Inf Model
Journal subject:
INFORMATICA MEDICA
/
QUIMICA
Year:
2007
Document type:
Article
Affiliation country:
United States