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.
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy / M. Lippi; A. Passerini; M. Punta; P. Frasconi. - ELETTRONICO. - 7524:(2012), pp. 854-857. (Intervento presentato al convegno European Conference on Machine Learning and Knowledge Discovery in Databases tenutosi a Bristol nel September 2012) [10.1007/978-3-642-33486-3_63].
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy
LIPPI, MARCO;FRASCONI, PAOLO
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.
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