Mining Protein Primary Structure Data Using Committee Machines Approach to Predict Protein Contact Map

Committee machines approach has shown to be useful in different applications. Protein primary structure data contain valuable information to extract. In this paper we mine these data and predict protein contact map based on committee machines. Contact map is the simplified, two dimensional representation of protein spatial structure. Contact map prediction is of great interest due to its application in fold recognition and predicting protein tertiary structure. The results show that the performance of the committee is considerably better than a single model.