Three dimensional protein structures determine the function of a protein within a cell. Classification of 3D structure of proteins is therefore crucial to inferring protein functional information as well as the evolution of interactions between proteins. In this paper we propose to employ a recently presented structural representation of the proteins and exploit the learning capabilities of the graph neural network model to perform the classification task.

A Supervised Approach to 3D Structural Classification of Proteins

FERONE, Alessio;PETROSINO, Alfredo;
2013-01-01

Abstract

Three dimensional protein structures determine the function of a protein within a cell. Classification of 3D structure of proteins is therefore crucial to inferring protein functional information as well as the evolution of interactions between proteins. In this paper we propose to employ a recently presented structural representation of the proteins and exploit the learning capabilities of the graph neural network model to perform the classification task.
2013
978-3-642-41189-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/22373
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