Data mining techniques have been used by researchers for analyzing proteinsequences. In protein analysis, especially in protein sequence classification,selection of feature is most important. Popular protein sequence classificationtechniques involve extraction of specific features from the sequences.Researchers apply some well-known classification techniques like neuralnetworks, Genetic algorithm, Fuzzy ARTMAP, Rough Set Classifier etc foraccurate classification. This paper presents a review is with three differentclassification models such as neural network model, fuzzy ARTMAP model andRough set classifier model. A new technique for classifying protein sequenceshave been proposed in the end. The proposed technique tries to reduce thecomputational overheads encountered by earlier approaches and increase theaccuracy of classification.
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