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dc.contributor.authorGaspar, Paulopt_PT
dc.contributor.authorMoura, Gabrielapt_PT
dc.contributor.authorSantos, Manuel A. S.pt_PT
dc.contributor.authorOliveira, José Luíspt_PT
dc.description.abstractSecondary structure of messenger RNA plays an important role in the bio-synthesis of proteins. Its negative impact on translation can reduce the yield of protein by slowing or blocking the initiation and movement of ribosomes along the mRNA, becoming a major factor in the regulation of gene expression. Several algorithms can predict the formation of secondary structures by calculating the minimum free energy of RNA sequences, or perform the inverse process of obtaining an RNA sequence for a given structure. However, there is still no approach to redesign an mRNA to achieve minimal secondary structure without affecting the amino acid sequence. Here we present the first strategy to optimize mRNA secondary structures, to increase (or decrease) the minimum free energy of a nucleotide sequence, without changing its resulting polypeptide, in a time-efficient manner, through a simplistic approximation to hairpin formation. Our data show that this approach can efficiently increase the minimum free energy by >40%, strongly reducing the strength of secondary structures. Applications of this technique range from multi-objective optimization of genes by controlling minimum free energy together with CAI and other gene expression variables, to optimization of secondary structures at the genomic level.pt_PT
dc.description.sponsorshipThe European FP7 projects GEN2PHEN and Mephitis; FCT/FEDER project [PTDC/BiA-GEN/110383/2009]; Fundação para a Ciência e Tecnologia (FCT) [SFRH/ BD/71063/2010 to P.G.]. Funding for open access charge: GEN2PHEN.pt_PT
dc.publisherOxford University Presspt_PT
dc.titleMRNA secondary structure optimization using a correlated stem-loop predictionpt_PT
degois.publication.firstPage1 - e73pt_PT
degois.publication.lastPage5 - e73pt_PT
degois.publication.titleNucleic Acids Researchpt_PT
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