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Motivation: It is attempted to improve the speed and flexibility of protein motif identification. The proposed algorithm is able to extract both rigid and flexible protein motifs. Results: In this work, we present a new algorithm for extracting the consensus pattern, or motif, from a group of related protein sequences. This algorithm involves a statistical method to find short patterns with high frequency and then neural network training to optimize the final classification accuracies. Fuzzydoi:10.1093/bioinformatics/18.8.1084 pmid:12176831 fatcat:qef5xkc3mfgzlb5dnkutdafjeu