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Protein & Peptide Letters

Editor-in-Chief

ISSN (Print): 0929-8665
ISSN (Online): 1875-5305

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

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

Volume 17, Issue 1, 2010

Page: [137 - 145] Pages: 9

DOI: 10.2174/092986610789909403

Price: $65

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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