摘要
Ithasbeenshownthattheprogressinthedeterminationofmembraneproteinstructuregrowsexponentially,withapproximatelythesamegrowthrateasthatofthewater-solubleproteins.Inordertoinvestigatetheeffectofthis,ontheperformanceofpredictionalgorithmsforbothα-helicalandβ-barrelmembraneproteins,weconductedaprospectivestudybasedonhistoricalrecords.WetrainedseparatehiddenMarkovmodelswithdifferentsizedtrainingsetsandevaluatedtheirperformanceontopologypredictionforthetwoclassesoftransmembraneproteins.Weshowthattheexistingtop-scoringalgorithmsforpredictingthetransmembranesegmentsofα-helicalmembraneproteinsperformslightlybetterthanthatofβ-barreloutermembraneproteinsinallmeasuresofaccuracy.Withthesamerationale,ameta-analysisoftheperformanceofthesecondarystructurepredictionalgorithmsindicatesthatexistingalgorithmictechniquescannotbefurtherimprovedbyjustaddingmorenon-homologoussequencestothetrainingsets.Theupperlimitforsecondarystructurepredictionisestimatedtobenomorethan70%and80%ofcorrectlypredictedresiduesforsinglesequencebasedmethodsandmultiplesequencebasedones,respectively.Therefore,weshouldconcentrateoureffortsonutilizingnewtechniquesforthedevelopmentofevenbetterscoringpredictors.
出版日期
2009年03月13日（中国期刊网平台首次上网日期，不代表论文的发表时间）
