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. , 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.
|Number of pages||9|
|State||Published - 2008|
|Event||14th International Conference on Neural Information Processing (ICONIP 2007) - Kitakyushu, Japan|
Duration: 13 Nov 2007 → 16 Nov 2007
|Conference||14th International Conference on Neural Information Processing (ICONIP 2007)|
|Period||13/11/07 → 16/11/07|
- SECONDARY STRUCTURE PREDICTION
Chang, J-Y., Shyu, J-J., & Shi, Y-X. (2008). Fuzzy k-nearest neighbor classifier to predict protein solvent accessibility. 837-845. Paper presented at 14th International Conference on Neural Information Processing (ICONIP 2007), Kitakyushu, Japan.