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Metal binding in proteins: Machine learning complements X-ray absorption spectroscopy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7524 LNAI(PART 2) 854-857
DOI: 10.1007/978-3-642-33486-3_63
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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.

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Lippi, M., Passerini, A., Punta, M., & Frasconi, P. (2012). Metal binding in proteins: Machine learning complements X-ray absorption spectroscopy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7524 LNAI, pp. 854–857). https://doi.org/10.1007/978-3-642-33486-3_63

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