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.
2012
Machine Learning and Knowledge Discovery in Databases
European Conference on Machine Learning and Knowledge Discovery in Databases
Bristol
September 2012
M. Lippi; A. Passerini; M. Punta; P. Frasconi
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/777705
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact