A Supervised Approach to 3D Structural Classification of Proteins

  • Virginio Cantoni
  • Alessio Ferone
  • Alfredo Petrosino
  • Gabriella Sanniti di Baja
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8158)

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.

Keywords

Concavity Tree Graph Neural Network Structural Classification of Proteins Protein Function 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Virginio Cantoni
    • 1
  • Alessio Ferone
    • 2
  • Alfredo Petrosino
    • 2
  • Gabriella Sanniti di Baja
    • 3
  1. 1.Department of Electrical and Computer EngineeringUniversity of PaviaPaviaItaly
  2. 2.Department of Applied ScienceUniversity of Naples ParthenopeNapoliItaly
  3. 3.Institute of Cybernetics ”E. Caianiello” - CNRNaplesItaly

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