Predicting Protein-protein Interaction Using Amino Acid Sequence Information: A Computational Approach

Authors

  • Mohammad Shoyaib Department of Computer Engineering, Kyung Hee University, 1 Seocheon, Giheung, Yongin, Gyonggi
  • M. Abdullah-Al-Wadud Department of Industrial and Management Engineering, Hankuk University of Foreign Studies, 89 Wangsan, Mohyun, Cheoin, Yongin, Gyonggi
  • Syed Murtuza Baker 2Department of Computer Science & Engineering, East West University, Dhaka
  • Mohammad Nurul Islam 3Department of Botany, University of Dhaka, Dhaka-1000
  • Oksam Chae Department of Computer Engineering, Kyung Hee University, 1 Seocheon, Giheung, Yongin, Gyonggi

DOI:

https://doi.org/10.3329/ptcb.v20i1.5963

Keywords:

Protein-protein interaction, Amino acid sequence, Computational approach

Abstract

An improved computational approach which implements a protein-protein interaction prediction system based on the sequence information of a protein has been presented. A Support Vector Machine (SVM) is trained with this sequence information to predict the interactions. This interaction prediction technique exhibits 79.81% accuracy over a wide range of data, which is a significant improvement over other conventional computational protein-protein interaction prediction methods.

 

Key words: Protein-protein interaction, Amino acid sequence, Computational approach

 

D.O.I. 10.3329/ptcb.v20i1.5963

 

Plant Tissue Cult. & Biotech. 20(1): 37-45, 2010 (June)

 

 

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Published

2010-08-30

How to Cite

Shoyaib, M., Abdullah-Al-Wadud, M., Baker, S. M., Islam, M. N., & Chae, O. (2010). Predicting Protein-protein Interaction Using Amino Acid Sequence Information: A Computational Approach. Plant Tissue Culture and Biotechnology, 20(1), 37–45. https://doi.org/10.3329/ptcb.v20i1.5963

Issue

Vol. 20 No. 1 (2010)

Section

Articles