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ID:43706042
大小:3.28 MB
页数:43页
时间:2019-10-13
《Computational Proteomics of Protein Complexes - 》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、ComputationalProteomicsofProteinComplexesMarkBGersteinYaleU1TheInteractome:theNext‘omicStepInteractomeProteomeTranscriptomeGenome2Thepopularityofinteractomeinformation3ComputationalProteomicsofComplexesInteractionsprovideasystematicwayofdefiningproteinfunctiononagenom
2、icscaleKnowncomplexesprovideabenchmarktovalidateandintegrategenome-wideinteractionexperiments,providingamoreaccurateinteractomeKnowncomplexesprovideafocusfortheintergrationof(non-interaction)genomicinformation–e.g.expressiondataExtrapolatingfromknowncomplexes,onecanpred
3、ictproteincomplexesonagenome-scaleviaintegratingexperimentalinteractionsandnon-interactioninformation(combining#1and#2)4CircumscribingProteinFunctionintermsofInteractions5UnderstandingProteinFunctiononaGenomicScale250of650knownonchr.22[Dunhametal.]>>30K+ProteinsinEntir
4、eHumanGenome(alt.splicing).……~6506IssuesindefiningproteinfunctiononagenomicscaleMulti-functionality:2functions/protein(also2proteins/function)RoleConflation:molecular,cellular,phenotypicFunterms…butdotheyscale?StarrynightSarah(affectsfemalefertility);Sonic;Darkenerof
5、apricot&suppressorofwhiteapricot;Redtape,gridlock,roadblock(whenmutatedblocktransportalongaxons);ROPvsROM("RegulatorofCopyNumber"orRNA-I-II-complex-binding-protein)Fornow,definableaspectsoffunction:interactions,location,enzymaticrxn.[Babbit]7Ontologiesforfunction:Networ
6、ks,Hierarchies,DAGs8Ontologiesforfunction:InteractionvectorsLanetal.IEEE(2002)&COSB(2003)9ValidatingandIntegratingGenomicProtein-ProteinInteractionDatasetswithKnownComplexes10ProteininteractiondataDatabases(BIND,DIP,MIPSetc.)literatureHigh-throughputdatasetsinvivopul
7、ldownyeasttwo-hybridComputationalpredictionsTangentialgenomicdataExpressiondataPhenotypicdataLocalizationData11CombininginteractiondataHigh-throughputdataislessreliablethanmorecareful,smallerscaleexperimentsOrthogonaldatasetsCombiningdataincreasesaccuracycoverageHowtodo
8、thisinaquantitativeway?Howtoweightthedifferentdatasources?Generalclassificationproblem(machinelearning)Bayesia
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