15. Prediction of Protein–Protein Interactions

  1. Ujjwal Maulik2,
  2. Sanghamitra Bandyopadhyay3 and
  3. Jason T. L. Wang4
  1. Angshuman Bagchi

Published Online: 25 AUG 2010

DOI: 10.1002/9780470872352.ch15

Computational Intelligence and Pattern Analysis in Biological Informatics

Computational Intelligence and Pattern Analysis in Biological Informatics

How to Cite

Bagchi, A. (2010) Prediction of Protein–Protein Interactions, in Computational Intelligence and Pattern Analysis in Biological Informatics (eds U. Maulik, S. Bandyopadhyay and J. T. L. Wang), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470872352.ch15

Editor Information

  1. 2

    Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

  2. 3

    Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

  3. 4

    Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA

Author Information

  1. Buck Institute for Age Research, 8001 Redwood Blvd., Novato, California, USA

Publication History

  1. Published Online: 25 AUG 2010
  2. Published Print: 11 OCT 2010

ISBN Information

Print ISBN: 9780470581599

Online ISBN: 9780470872352

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Keywords:

  • protein–protein interaction (PPI) prediction - major role in biological processes;
  • support vector machines (SVM) - supervised learning method for classification, function approximation, signal processing and regression analysis;
  • PPIs prediction, based on whole genome analysis

Summary

This chapter contains sections titled:

  • Introduction

  • Basic Definitions [9, 10]

  • Classification of PPI

  • Characteristics of PPIs

  • Driving Forces for the Formation of PPIs

  • Prediction of PPIs

  • Discussion And Conclusion

  • Appendix I

  • Appendix II

  • References