Sequence-Based Prediction of Protein-Protein Interactions by Means of Rotation Forest and Autocorrelation Descriptor

Author(s): Jun-Feng Xia, Kyungsook Han, De-Shuang Huang

Journal Name: Protein & Peptide Letters

Volume 17 , Issue 1 , 2010


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Abstract:

We propose a sequence-based multiple classifier system, i.e., rotation forest, to infer protein-protein interactions (PPIs). Moreover, Moran autocorrelation descriptor is used to code an interaction protein pair. Experimental results on Saccharomyces cerevisiae and Helicobacter pylori datasets show that our approach outperforms those previously published in literature, which demonstrates the effectiveness of the proposed method.

Keywords: Protein-protein interactions, rotation forest, autocorrelation descriptor, protein sequence, multiple classifier system

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Article Details

VOLUME: 17
ISSUE: 1
Year: 2010
Page: [137 - 145]
Pages: 9
DOI: 10.2174/092986610789909403

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