Title :
Feature extraction of protein folds based on secondary structure transformation
Author :
Maeda, T. ; Kamada, K. ; Ohkawa, T. ; Komoda, N. ; Nakamura, H. ; Kidera, A.
Author_Institution :
Dept. of Inf. Syst. Eng., Osaka Univ., Japan
Abstract :
We propose a classification method of protein folds from the structural features of clusters that are extracted based on the cost of structural transformation from one protein to another. In the method, the feature to be extracted is defined as a pair of a delegate structure and a cluster region. The delegate structure is generated by estimating the center of structural balance among proteins in one cluster from the viewpoint of transformation costs. The cluster region shows how far the cluster spread. The validity of the proposed feature extraction method is confirmed through the application to the convenient classification of unclassified proteins
Keywords :
feature extraction; molecular biophysics; pattern classification; proteins; cluster region; feature extraction; pattern classification; protein; secondary structure transformation; Costs; Feature extraction; Parameter estimation; Protein engineering; Systems engineering and theory;
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
DOI :
10.1109/IJSIS.1998.685436