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dc.contributor.authorHughes, TA
dc.contributor.authorMcElwaine, JN
dc.date.accessioned2017-10-03T07:39:27Z
dc.date.available2017-10-03T07:39:27Z
dc.date.issued2006-03
dc.identifier.citationT. A. Hughes and J. N. McElwaine, “Mathematical and Biological Modelling of RNA Secondary Structure and Its Effects on Gene Expression,” Computational and Mathematical Methods in Medicine, vol. 7, no. 1, pp. 37-43, 2006. doi:10.1080/10273660600906416
dc.identifier.issn1748-670X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/267531
dc.description.abstractSecondary structures within the 5' untranslated regions of messenger RNAs can have profound effects on the efficiency of translation of their messages and thereby on gene expression. Consequently they can act as important regulatory motifs in both physiological and pathological settings. Current approaches to predicting the secondary structure of these RNA sequences find the structure with the global-minimum free energy. However, since RNA folds progressively from the 5' end when synthesised or released from the translational machinery, this may not be the most probable structure. We discuss secondary structure prediction based on local-minimisation of free energy with thermodynamic fluctuations as nucleotides are added to the 3' end and show that these can result in different secondary structures. We also discuss approaches for studying the extent of the translational inhibition specified by structures within the 5' untranslated region.
dc.publisherHindawi Limited
dc.rightsAll Rights Reserved
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved/
dc.titleMathematical and biological modelling of RNA secondary structure and its effects on gene expression.
dc.typeArticle
dc.date.updated2017-07-13T08:48:44Z
dc.description.versionPeer Reviewed
dc.language.rfc3066en
dc.rights.holderCopyright © 2006 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
prism.publicationNameComput Math Methods Med
dc.identifier.doi10.17863/CAM.13470
rioxxterms.versionofrecord10.1080/10273660600906416
dc.identifier.eissn1748-6718


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