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Prediction of Bioactivities of Complex Natural Products by Artificial Intelligence
Artificial Neural networks are fast-spreading in chemistry (Zupan & Gasteiger, 1991) but only a few applications to natural product’s chemistry/food chemistry have been reported so far. Our results confirm that artificial neural networks are reliable, fast and cheap tools and open the way for predicting the antioxidant activity of complex mixtures of natural products (Cortes-Cabrera & Prieto, 2009). Therefore, can be used to model nutraceutical properties or predict the quality of food ingredients.
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