An application of recursive cascade correlation to the quantitative structure-activity relationships (QSAR) of a class of Beneodiazepines is presented. Recursive cascade correlation is a neural network model recently proposed for the processing of structured data. This allows the direct treatment of the chemical compounds as labeled ordered trees, which constitutes a novel approach to QSAR. Our approach compares favorably versus the traditional QSAR treatment based on equations
Quantitative Structure-Activity Relationships of Benzodiazepines by Recursive Cascade Correlation
BIANUCCI, ANNA MARIA PAOLA;MICHELI, ALESSIO;STARITA, ANTONINA
1998-01-01
Abstract
An application of recursive cascade correlation to the quantitative structure-activity relationships (QSAR) of a class of Beneodiazepines is presented. Recursive cascade correlation is a neural network model recently proposed for the processing of structured data. This allows the direct treatment of the chemical compounds as labeled ordered trees, which constitutes a novel approach to QSAR. Our approach compares favorably versus the traditional QSAR treatment based on equationsFile in questo prodotto:
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