Metal binding in proteins: Machine learning complements X-ray absorption spectroscopy
Conference Paper
Publication Date:
2012
Short description:
Metal binding in proteins: Machine learning complements X-ray absorption spectroscopy / Lippi, Marco; Passerini, Andrea; Punta, Marco; Frasconi, Paolo. - 7524:2(2012), pp. 854-857. ( 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012 Bristol, gbr 2012) [10.1007/978-3-642-33486-3_63].
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 Springer-Verlag.
Iris type:
Relazione in Atti di Convegno
Keywords:
Computer Science (all); Theoretical Computer Science
List of contributors:
Lippi, Marco; Passerini, Andrea; Punta, Marco; Frasconi, Paolo
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in: