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dc.citation.endPage 479 -
dc.citation.number 2 -
dc.citation.startPage 471 -
dc.citation.title CELL -
dc.citation.volume 153 -
dc.contributor.author Savir, Yonatan -
dc.contributor.author Tlusty, Tsvi -
dc.date.accessioned 2023-12-22T04:07:33Z -
dc.date.available 2023-12-22T04:07:33Z -
dc.date.created 2020-02-20 -
dc.date.issued 2013-04 -
dc.description.abstract The ribosome is a complex molecular machine that, in order to synthesize proteins, has to decode mRNAs by pairing their codons with matching tRNAs. Decoding is a major determinant of fitness and requires accurate and fast selection of correct tRNAs among many similar competitors. However, it is unclear whether the modern ribosome, and in particular its large conformational changes during decoding, are the outcome of adaptation to its task as a decoder or the result of other constraints. Here, we derive the energy landscape that provides optimal discrimination between competing substrates and thereby optimal tRNA decoding. We show that the measured landscape of the prokaryotic ribosome is sculpted in this way. This model suggests that conformational changes of the ribosome and tRNA during decoding are means to obtain an optimal decoder. Our analysis puts forward a generic mechanism that may be utilized broadly by molecular recognition systems. -
dc.identifier.bibliographicCitation CELL, v.153, no.2, pp.471 - 479 -
dc.identifier.doi 10.1016/j.cell.2013.03.032 -
dc.identifier.issn 0092-8674 -
dc.identifier.scopusid 2-s2.0-84876227172 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/31174 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S0092867413003899?via%3Dihub -
dc.identifier.wosid 000317349700024 -
dc.language 영어 -
dc.publisher CELL PRESS -
dc.title The Ribosome as an Optimal Decoder: A Lesson in Molecular Recognition -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Biochemistry & Molecular Biology; Cell Biology -
dc.relation.journalResearchArea Biochemistry & Molecular Biology; Cell Biology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus TRANSFER-RNA SELECTION -
dc.subject.keywordPlus AMINOACYL-TRANSFER-RNA -
dc.subject.keywordPlus INDUCED FIT -
dc.subject.keywordPlus CONFORMATIONAL-CHANGES -
dc.subject.keywordPlus ENERGY LANDSCAPES -
dc.subject.keywordPlus GTPASE ACTIVATION -
dc.subject.keywordPlus PROTEIN-SYNTHESIS -
dc.subject.keywordPlus EF-TU -
dc.subject.keywordPlus FIDELITY -
dc.subject.keywordPlus TRANSLATION -

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