| Autor: |
Tetko, I. V., Villa, A. E. P., Aksenova, T. I., Zielinski, W. L., Brower, J., Collantes, E. R., Welsh, W. J. |
| Zdroj: |
Journal of Chemical Information and Computer Sciences (now called Journal of Chemical Information and Modeling); July 20, 1998, Vol. 38 Issue: 4 p660-668, 9p |
| Abstrakt: |
The present study investigates an application of artificial neural networks (ANNs) for use in pharmaceutical fingerprinting. Several pruning algorithms were applied to decrease the dimension of the input parameter data set. A localized fingerprint region was identified within the original input parameter space from which a subset of input parameters was extracted leading to enhanced ANN performance. The present results confirm that ANNs can provide a fast, accurate, and consistent methodology applicable to pharmaceutical fingerprinting. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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