Title :
Protein secondary structure predict based on the path with the maximum weight
Author :
Luo, Liang ; Shao, Zehui
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Graph theory plays a key role in the field of prediction of protein structure. In this paper, we proposed a new method of protein secondary structure predict based on the path with the maximum weight of a graph. Three vertices of the graph give a possible secondary structure of a protein, and each edge of the graph is assigned a weight by a function. The path with the maximum weight equated the corrected secondary structure. By this method, we tested against several groups proteins and showed that this method was feasible. Finally we discussed the selection of parameters in this method.
Keywords :
molecular biophysics; molecular configurations; proteins; protein secondary structure predict; Amino acids; Clustering algorithms; Graph theory; Hidden Markov models; Information science; Partitioning algorithms; Prediction methods; Predictive models; Protein engineering; Protein sequence;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358184
