Predicting Protein Interaction Sites Based on a New Integrated Radial Basis Functional Neural Network
Interactions among proteins are the basis of various life events. So, it is important to recognize and research protein interaction sites. A control set that contains 149 protein molecules were used here. Then 10 features were extracted and 4 sample sets that contained 9 sliding windows were made according to features. These 4 sample sets were calculated by Radial Basis Functional neutral networks which were optimized by Particle Swarm Optimization respectively. Then 4 groups of results were obtained. Finally, these 4 groups of results were integrated by Genetic Algorithm based Selected Ensemble (GASEN) and better accuracy was got. So, the integrated method was proved to be effective.
Yanguo Shi and Jinlong Zuo
X. L. Shen and Y. H. Chen, "Predicting Protein Interaction Sites Based on a New Integrated Radial Basis Functional Neural Network", Advanced Materials Research, Vols. 183-185, pp. 387-391, 2011