Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80078
Title: Large-scale protein-protein interactions detection by integrating big biosensing data with computational model
Authors: You, ZH
Li, S 
Gao, X
Luo X 
Ji, Z
Issue Date: 2014
Publisher: Hindawi Publishing Corporation
Source: BioMed research international, 2014, v. 2014, 598129, p. 1-9 How to cite?
Journal: BioMed research international 
Abstract: Protein-protein interactions are the basis of biological functions, and studying these interactions on a molecular level is of crucial importance for understanding the functionality of a living cell. During the past decade, biosensors have emerged as an important tool for the high-throughput identification of proteins and their interactions.However, the high-throughput experimental methods for identifying PPIs are both time-consuming and expensive. On the other hand, high-throughput PPI data are often associated with high false-positive and high false-negative rates. Targeting at these problems, we propose a method for PPI detection by integrating biosensor-based PPI data with a novel computational model. This method was developed based on the algorithm of extreme learning machine combined with a novel representation of protein sequence descriptor. When performed on the large-scale human protein interaction dataset, the proposed method achieved 84.8% prediction accuracy with 84.08% sensitivity at the specificity of 85.53%. We conducted more extensive experiments to compare the proposed method with the state-of-the-art techniques, support vector machine. The achieved results demonstrate that our approach is very promising for detecting new PPIs, and it can be a helpful supplement for biosensor-based PPI data detection.
URI: http://hdl.handle.net/10397/80078
ISSN: 2314-6133
EISSN: 2314-6141
DOI: 10.1155/2014/598129
Rights: Copyright © 2014 Zhu-Hong You et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication You, Z. -., Li, S., Gao, X., Luo, X., & Ji, Z. (2014). Large-scale protein-protein interactions detection by integrating big biosensing data with computational model. BioMed Research International, 2014, 598129, 1-9 is available at https://dx.doi.org/10.1155/2014/598129
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