Title :
Mining Protein Primary Structure Data Using Committee Machines Approach to Predict Protein Contact Map
Author :
Habibi, N.K. ; Mahdaviani, Kaveh ; Saraee, M.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan
Abstract :
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.
Keywords :
biology computing; data mining; prediction theory; proteins; committee machines; contact map prediction; data mining; protein contact map; protein primary structure data; protein spatial structure; Bioinformatics; Contacts; Data mining; Database systems; Genetic mutations; IEEE members; Laboratories; Machine learning; Protein engineering; Protein sequence; artificial intelligence; bioinformatics; committee machine; contact map prediction; ensemble learning; machine learning; neural network; protein contact map;
Conference_Titel :
Emerging Technologies, 2008. ICET 2008. 4th International Conference on
Conference_Location :
Rawalpindi
Print_ISBN :
978-1-4244-2210-4
Electronic_ISBN :
978-1-4244-2211-1
DOI :
10.1109/ICET.2008.4777515
