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Phosphorylation motif identification
OBJECTIVE
- With the emergence of large-scale protein phosphorylation site datasets via
high-throughput mass spectrometry, it will become important to fully mine the
underlying biological significance of these data. One approach is to identify
motifs surrounding the phosphorylation sites.
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METHOD:
- We developed a new algorithm for characterizing phosphorylation motif patterns
based on hierarchical clustering technique, which integrates the amino acid substitution
probability and sequence similarity information.
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RESULT:
- Application of this algorithm to P3DB oilseed rape phosphorylation dataset resulted in identification of
dozens of novel and known phosphorylation motifs, which can be downloaded from
this link.
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