DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nam, HJ | - |
dc.contributor.author | Jeon, J | - |
dc.contributor.author | Kim, S | - |
dc.date.accessioned | 2016-04-01T03:15:51Z | - |
dc.date.available | 2016-04-01T03:15:51Z | - |
dc.date.created | 2010-04-13 | - |
dc.date.issued | 2009-11-30 | - |
dc.identifier.issn | 1976-6696 | - |
dc.identifier.other | 2009-OAK-0000020426 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/26451 | - |
dc.description.abstract | Membrane 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.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | KOREAN SOCIETY BIOCHEMISTRY & MOLECULAR BIOLOGY | - |
dc.relation.isPartOf | BMB REPORTS | - |
dc.subject | Evolutionary approaches | - |
dc.subject | Function prediction | - |
dc.subject | Membrane protein | - |
dc.subject | Protein structure | - |
dc.subject | Topology prediction | - |
dc.subject | TRANSMEMBRANE TOPOLOGY PREDICTION | - |
dc.subject | HIDDEN-MARKOV-MODEL | - |
dc.subject | ALPHA-HELICES | - |
dc.subject | EVOLUTIONARY INFORMATION | - |
dc.subject | ALLOSTERIC COMMUNICATION | - |
dc.subject | CONSENSUS PREDICTION | - |
dc.subject | POTASSIUM CHANNEL | - |
dc.subject | H+ CHANNEL | - |
dc.subject | 2D IR | - |
dc.subject | DOMAIN | - |
dc.title | Bioinformatic approaches for the structure and function of membrane proteins | - |
dc.type | Article | - |
dc.contributor.college | 정보전자융합공학부 | - |
dc.identifier.doi | 10.5483/BMBRep.2009.42.11.697 | - |
dc.author.google | Nam, HJ | - |
dc.author.google | Jeon, J | - |
dc.author.google | Kim, S | - |
dc.relation.volume | 42 | - |
dc.relation.issue | 11 | - |
dc.relation.startpage | 697 | - |
dc.relation.lastpage | 704 | - |
dc.contributor.id | 10136479 | - |
dc.relation.journal | BMB REPORTS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | BMB REPORTS, v.42, no.11, pp.697 - 704 | - |
dc.identifier.wosid | 000272346200001 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 704 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 697 | - |
dc.citation.title | BMB REPORTS | - |
dc.citation.volume | 42 | - |
dc.contributor.affiliatedAuthor | Kim, S | - |
dc.identifier.scopusid | 2-s2.0-73449095502 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 16 | - |
dc.type.docType | Review | - |
dc.subject.keywordPlus | TRANSMEMBRANE ALPHA-HELICES | - |
dc.subject.keywordPlus | HIDDEN-MARKOV-MODEL | - |
dc.subject.keywordPlus | TOPOLOGY PREDICTION | - |
dc.subject.keywordPlus | ALLOSTERIC COMMUNICATION | - |
dc.subject.keywordPlus | CONSENSUS PREDICTION | - |
dc.subject.keywordPlus | POTASSIUM CHANNEL | - |
dc.subject.keywordPlus | DOMAIN | - |
dc.subject.keywordPlus | EVOLUTION | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordAuthor | Evolutionary approaches | - |
dc.subject.keywordAuthor | Function prediction | - |
dc.subject.keywordAuthor | Membrane protein | - |
dc.subject.keywordAuthor | Protein structure | - |
dc.subject.keywordAuthor | Topology prediction | - |
dc.relation.journalWebOfScienceCategory | Biochemistry & Molecular Biology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
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