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Stanford, CA, USA
Aug. 11, 2003 to Aug. 14, 2003
ISBN: 0-7695-2000-6
pp: 347
Hsin-Nan Lin , Academia Sinica
Kuen-Pin Wu , Academia Sinica
Wen-Lian Hsu , Academia Sinica
ABSTRACT
Protein sequence analysis is an important tool to decode the logic of life. One of the most important similarity measures in this area is the edit distance between amino acids of two sequences. We believe this criterion should be reconsidered because protein features are probably associated more with small peptide fragments than with individual amino acids.<div></div> In this paper, we design small patterns that are associated with highly conversed regions among a set of protein sequences. These patterns are used analogous to the index terms in information retrieval. Therefore, we do not consider gaps within patterns. This new similarity measure has been applied to phylogenetic tree construction, protein clustering and protein secondary structure prediction and has produced promising results.
INDEX TERMS
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CITATION
Hsin-Nan Lin, Kuen-Pin Wu, Wen-Lian Hsu, "A New Similarity Measure among Protein Sequences", CSB, 2003, Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003 2003, pp. 347, doi:10.1109/CSB.2003.1227335
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