標題: Fuzzy k-nearest neighbor classifier to predict protein solvent accessibility
作者: Chang, Jyh-Yeong
Shyu, Jia-Jie
Shi, Yi-Xiang
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2008
摘要: The prediction of protein solvent accessibility is an intermediate step for predicting the tertiary structure of proteins. Knowledge of solvent accessibility has proved useful for identifying protein function, sequence motifs, and domains. Using a position-specific scoring matrix (PSSM) generated from PSI-BLAST in this paper, we develop the modified fuzzy k-nearest neighbor method to predict the protein relative solvent accessibility. By modifying the membership functions of the fuzzy k-nearest neighbor method by Sim et al. [1], has recently been applied to protein solvent accessibility prediction with excellent results. Our modified fuzzy k-nearest neighbor method is applied on the three-state, E, I, and B, and two-state, E, and B, relative solvent accessibility predictions, and its prediction accuracy compares favorly with those by the fuzzy k-NN and other approaches.
URI: http://hdl.handle.net/11536/32608
ISBN: 978-3-540-69159-4
ISSN: 0302-9743
期刊: NEURAL INFORMATION PROCESSING, PART II
Volume: 4985
起始頁: 837
結束頁: 845
顯示於類別:會議論文