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Cited 19 time in webofscience Cited 21 time in scopus
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dc.contributor.authorNam, HJ-
dc.contributor.authorJeon, J-
dc.contributor.authorKim, S-
dc.date.accessioned2016-04-01T03:15:51Z-
dc.date.available2016-04-01T03:15:51Z-
dc.date.created2010-04-13-
dc.date.issued2009-11-30-
dc.identifier.issn1976-6696-
dc.identifier.other2009-OAK-0000020426-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/26451-
dc.description.abstractMembrane proteins play important roles in the biology of the cell, including intercellular communication and molecular transport. Their well-established importance notwithstanding, the high-resolution structures; of membrane proteins remain elusive due to difficulties in protein expression, purification and crystallization. Thus, accurate prediction of membrane protein topology can increase the understanding of membrane protein function. Here, we provide a brief review of the diverse computational methods for predicting membrane protein structure and function, including recent progress and essential bioinformatics tools. Our hope is that this review will be instructive to users studying membrane protein biology in their choice of appropriate bioinformatics methods. [BMB reports 2009; 42(11): 697-704]-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherKOREAN SOCIETY BIOCHEMISTRY & MOLECULAR BIOLOGY-
dc.relation.isPartOfBMB REPORTS-
dc.subjectEvolutionary approaches-
dc.subjectFunction prediction-
dc.subjectMembrane protein-
dc.subjectProtein structure-
dc.subjectTopology prediction-
dc.subjectTRANSMEMBRANE TOPOLOGY PREDICTION-
dc.subjectHIDDEN-MARKOV-MODEL-
dc.subjectALPHA-HELICES-
dc.subjectEVOLUTIONARY INFORMATION-
dc.subjectALLOSTERIC COMMUNICATION-
dc.subjectCONSENSUS PREDICTION-
dc.subjectPOTASSIUM CHANNEL-
dc.subjectH+ CHANNEL-
dc.subject2D IR-
dc.subjectDOMAIN-
dc.titleBioinformatic approaches for the structure and function of membrane proteins-
dc.typeArticle-
dc.contributor.college정보전자융합공학부-
dc.identifier.doi10.5483/BMBRep.2009.42.11.697-
dc.author.googleNam, HJ-
dc.author.googleJeon, J-
dc.author.googleKim, S-
dc.relation.volume42-
dc.relation.issue11-
dc.relation.startpage697-
dc.relation.lastpage704-
dc.contributor.id10136479-
dc.relation.journalBMB REPORTS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationBMB REPORTS, v.42, no.11, pp.697 - 704-
dc.identifier.wosid000272346200001-
dc.date.tcdate2019-02-01-
dc.citation.endPage704-
dc.citation.number11-
dc.citation.startPage697-
dc.citation.titleBMB REPORTS-
dc.citation.volume42-
dc.contributor.affiliatedAuthorKim, S-
dc.identifier.scopusid2-s2.0-73449095502-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc16-
dc.type.docTypeReview-
dc.subject.keywordPlusTRANSMEMBRANE ALPHA-HELICES-
dc.subject.keywordPlusHIDDEN-MARKOV-MODEL-
dc.subject.keywordPlusTOPOLOGY PREDICTION-
dc.subject.keywordPlusALLOSTERIC COMMUNICATION-
dc.subject.keywordPlusCONSENSUS PREDICTION-
dc.subject.keywordPlusPOTASSIUM CHANNEL-
dc.subject.keywordPlusDOMAIN-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordAuthorEvolutionary approaches-
dc.subject.keywordAuthorFunction prediction-
dc.subject.keywordAuthorMembrane protein-
dc.subject.keywordAuthorProtein structure-
dc.subject.keywordAuthorTopology prediction-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-

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김상욱KIM, SANGUK
Dept of Life Sciences
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