Fuzzy k-nearest neighbor method is a generalization of nearest
neighbor method, the simplest algorithm for pattern classification.
One of the important areas for application of the pattern
classification is the protein secondary structure prediction, an
important topic in the field of bioinformatics. In this work, we
develop a parallel algorithm for protein secondary structure
prediction, based on the fuzzy k-nearest neighbor method, that
uses evolutionary profile obtained from PSI-BLAST (Position Specific
Iterative Basic Local Sequence Alignment Tool) as the feature
vectors.