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IDENTIFYING NEUROTOXINS IN SNAKE VENOMS THROUGH AUTOMATED GENERATION OF PROBABILISTIC CONSENSUS MOTIFS
unpublished
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In this paper, we propose an algorithm that automatically generates a consensus motif identifying a protein family given an alignment of a set of protein sequences. The algorithm also assigns probabilistic scores to each amino-acid choice at each position in the sequence that will better aid in matching the motif against a protein database. Using aligned neurotoxin sequences from 91 species of Elapid snakes, the neurotoxin-motif generated by our algorithm successfully matched 175 proteins,
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