Title :
A new neural network ensemble heuristic for a predictor of the aldose reductase inhibitory activity
Author :
Parra-Hernandez, R. ; Laxdal, E.M. ; Dimopoulos, N.J. ; Alexiou, Polyxeni
Author_Institution :
Dept. of Electr. & Comput., Victoria Univ., BC
Abstract :
In this paper, we present a mechanism to obtain a neural network-based model that predicts an enzyme inhibitory activity of a group of compounds. The mechanism selects the compounds, among a sparse set of, that should be used to obtain models of the inhibitory activity of interest. That is, the mechanism is aimed to the selection of a training set of compounds which will ensure that the training of a neural network-based model will result in a system capable of generalization
Keywords :
enzymes; inhibitors; neural nets; aldose reductase inhibitory activity; enzyme inhibitory activity; neural network ensemble heuristic; Biochemistry; Biological system modeling; Cancer; Chemical compounds; Databases; Electronic mail; Inhibitors; Neural networks; Pharmaceuticals; Predictive models;
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
DOI :
10.1109/ISSPIT.2005.1577208
