简介：Anincreasingnumberofstructuralhomologysearchtools,mostlybasedonprofilestochasticcontext-freegrammars(SCFGs)havebeenrecentlydevelopedforthenon-codingRNAgeneidentification.SCFGscanincludestatisticalbiasesthatoftenoccurinRNAsequences,necessarytoprofilespecificRNAstructuresforstructuralhomologysearch.Inthispaper,asuccinctstochasticgrammarmodelisintroducedforRNAthathascompetitivesearcheffectiveness.Moreimportantly,theprofilingmodelcanbeeasilyextendedtoincludepseudoknots,structuresthatarebeyondthecapabilityofprofileSCFGs.Inaddition,themodelallowsheuristicstobeexploited,resultinginasignificantspeed-upfortheCYKalgorithm-basedsearch.
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