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Sequence profiles - Sequence profiles Sequence patterns...

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Sequence profiles Sequence patterns using regular expressions (such as PROSITE) have a problem with large multiple alignments of divergent families: As more sequences are added, the probability that there will be even a few constant or even strongly conserved sites will diminish. There will always be an exception to the rule . In order to avoid missing a known member of a family, the regexp has to be made more general, but then the danger of including garbage increases. This is the typical sensitivity- specificity problem. There is another approach. Sequence profiles (Gribskov et al 1987 ) are essentially patterns where each position in the sequence of the segment (or motif) has been assigned a probability value for each possible amino-acid residue type. Instead of requiring a yes/no response to the question "does the amino acid in the sequence fit the pattern?", we now get a response "it fits at a level of 0.9", or "it fits at level of 0.1". The idea is to make the process softer. Add together the soft responses to an overall sum and then make a decision. Don't make the decision at each comparison
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