Three dimensional (3D) protein structures determine the function of a protein within a cell. Classication of 3D structure of proteins is therefore crucial to inferring protein functional information as well as the evolution of interactions between proteins. This paper 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 classication task.
A Supervised Approach to 3D Structural Classication of Proteins
CANTONI, VIRGINIO;
2013-01-01
Abstract
Three dimensional (3D) protein structures determine the function of a protein within a cell. Classication of 3D structure of proteins is therefore crucial to inferring protein functional information as well as the evolution of interactions between proteins. This paper 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 classication task.File in questo prodotto:
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