Auto Covariance Combined with Artificial Neural Network for Predicting Protein-Protein Interactions

Abstract:

Proteins play biological function through the interactions in organisms. Proteins are major components of organisms, and they are of great significance. As an increasing number of high-throughput biological experiments are carried out, a large amount of biological data is produced. Bioinformatics is developed to study the relative data which turns out to be difficult to study using biological methods. The paper mainly studies how to apply the intelligent calculation methods to protein-protein interactions (PPIs) prediction. We proposed an approach, by combining auto covariance with artificial neural network classifier, to predict PPIs. Experiments show that our method performs better than related works with a 5% higher accuracy.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 1622-1624
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.1622
• Online since: September 2013
• Authors: Juan Juan Li, Yue Hui Chen
• Keywords: Artificial Neural Network (ANN), Auto Covariance, Predicting PPIs

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