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

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

Mohammad Shoyaib, M. Abdullah-Al-Wadud, Syed Murtuza Baker, Mohammad Nurul Islam3 and Oksam Chae*

Department of Computer Engineering, Kyung Hee University, 1 Seocheon, Giheung, Yongin, Gyonggi, Korea

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

Abastract

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.

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