We present an application of machine learning algorithms for the identification of metalloproteins and metal binding sites on a genome scale. An extensive evaluation conducted in combination with X- ray absorption spectroscopy shows the great potentiality of the approach.
M. Lippi, A. Passerini, M. Punta, P. Frasconi (2012). Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. SPRINGER.
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy
LIPPI, MARCO;
2012
Abstract
We present an application of machine learning algorithms for the identification of metalloproteins and metal binding sites on a genome scale. An extensive evaluation conducted in combination with X- ray absorption spectroscopy shows the great potentiality of the approach.File in questo prodotto:
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