JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (6): 144-149.

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Prediction of protein-protein interaction sites using ensemble neural networks

SHEN Xiao-li, CHEN Yue-hui   

  1. School of Information Science and Engineering, University of Jinan, Jinan 250022, China
  • Received:2010-04-11 Online:2010-12-16 Published:2010-04-11

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Abstract:

Protein-protein interaction sites are very important in drug design and construction of protein interaction networks. A data set that contained 35 proteins was used. First, 3 features of the  proteins were extracted. They were sequence profiles, entropy and accessible surface area. Then back propagation neural networks and their integration were applied to predict proteinprotein interaction sites. One protein was tested each time and the remaining 34 proteins were used to train the classifiers (one-crossover). The final result was good and when adding one new feature the accuracy of prediction  improved. When integrating these features the outcome has more accuracy than a single  classifier.

Key words:  protein-protein interaction sites, sequence profiles, entropy, accessible surface area, ensemble neural networks

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