Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/2708
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dc.contributor.authorSayyed-Ahmad, Abdallah
dc.contributor.authorVolzing, Katherine
dc.contributor.authorVivcharuk, Victor
dc.contributor.authorBolintineanu, Dans
dc.contributor.authorPoonam, Srivastava
dc.date.accessioned2016-10-15T08:53:34Z
dc.date.available2016-10-15T08:53:34Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/20.500.11889/2708
dc.descriptionVolzing,Katherine: Vivcharuk,Victor: Bolintineanu,Dans: srivas tava,Poonam:en_US
dc.description.abstractThe tetracycline operon is an important gene network component, commonly used in synthetic biology applications because of its switch-like character. At the heart of this system is the highly specific interaction of the tet repressor protein (TetR) with its cognate DNA sequence (tetO). TetR binding on tetO practically stops expression of genes downstream of tetO by excluding RNA polymerase from binding the promoter and initiating transcription. Mutating the tetO sequence alters the strength of TetR−tetO binding and thus provides a tool to synthetic biologists to manipulate gene expression levels. We employ molecular dynamics (MD) simulations coupled with the free energy perturbation method to investigate the binding affinity of TetR to different tetO mutants. We also carry out in vivo tests in Escherichia coli for a series of promoters based on these mutants. We obtain reasonable agreement between experimental green fluorescent protein (GFP) repression levels and binding free energy differences computed from molecular simulations. In all cases, the wildtype tetO sequence yields the strongest TetR binding, which is observed both experimentally, in terms of GFP levels, and in simulation, in terms of free energy changes. Two of the four tetO mutants we tested yield relatively strong binding, whereas the other two mutants tend to be significantly weaker. The clustering and relative ranking of this subset of tetO mutants is generally consistent between our own experimental data, previous experiments with different systems and the free energy changes computed from our simulations. Overall, this work offers insights into an important synthetic biological system and demonstrates the potential, as well as limitations of molecular simulations to quantitatively explain biologically relevant behavior
dc.language.isoenen_US
dc.publisherAmerican Chemical Societyen_US
dc.subject.lcshGenetic transcription
dc.subject.lcshTetracycline
dc.subject.lcshTetracyclines - chemistry
dc.subject.lcshDrug resistance in microorganisms
dc.subject.lcshAnti-infective agents
dc.titleInvestigation of Changes in Tetracycline Repressor Binding upon Mutations in the Tetracycline Operatoren_US
newfileds.item-access-typeopen_accessen_US
newfileds.general-subjectBio-Technologyen_US
item.grantfulltextopen-
item.languageiso639-1other-
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