Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties

  • Yu-Yen Ou
  • Shu-An Chen
  • Chung-Lu Shao
  • Hao-Geng Hung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4774)

Abstract

Protein-protein interactions play a very important role in many biological processes, for example, information transfer along signaling pathways, and enzyme catalysis. Recently, scientists tried to predict the protein-protein interaction interface from sequences. Since the number of protein 3D structure still increase slowly comparing to the number of protein sequences, it may be a good idea to predict the protein-protein interface from sequences directly.

In this paper, the compositions and conserved functions of the amino acids in the protein interface are studied, and the information of secondary structures is added. In addition, we used radio basis function network to predict the protein interface with adding some useful biochemical features.

Keywords

Hide Layer Radial Basis Function Neural Network Radial Basis Function Network Cholesky Decomposition Interface Residue 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yu-Yen Ou
    • 1
  • Shu-An Chen
    • 1
  • Chung-Lu Shao
    • 2
  • Hao-Geng Hung
    • 2
  1. 1.Department of Computer Science and Engineering, Graduate School of Biotechnology and Bioinformatics, Yuan-Ze University, Chung-LiTaiwan
  2. 2.Department of Computer Science and Information Engineering, National Taiwan University, TaipeiTaiwan

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