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Sequence Motif Identification and Protein Family Classification Using Probabilistic Trees

Florência LeonardiAntônio Galves

Efficient family classification of newly discovered protein sequences is a central problem in bioinformatics. We present a new algorithm, using Probabilistic Sufx Trees, which identifies equivalences between the amino acids in different positions of a motif for each family. We also show that better classification can be achieved identifying representative fingerprints in the amino acid chains.

http://www.lbd.dcc.ufmg.br/colecoes/bsb/2005/026.pdf

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