Literature DB >> 35524574

Nearest neighbor rules for RNA helix folding thermodynamics: improved end effects.

Jeffrey Zuber1, Susan J Schroeder2, Hongying Sun3,4, Douglas H Turner4,5, David H Mathews3,4,6.   

Abstract

Nearest neighbor parameters for estimating the folding stability of RNA secondary structures are in widespread use. For helices, current parameters penalize terminal AU base pairs relative to terminal GC base pairs. We curated an expanded database of helix stabilities determined by optical melting experiments. Analysis of the updated database shows that terminal penalties depend on the sequence identity of the adjacent penultimate base pair. New nearest neighbor parameters that include this additional sequence dependence accurately predict the measured values of 271 helices in an updated database with a correlation coefficient of 0.982. This refined understanding of helix ends facilitates fitting terms for base pair stacks with GU pairs. Prior parameter sets treated 5'GGUC3' paired to 3'CUGG5' separately from other 5'GU3'/3'UG5' stacks. The improved understanding of helix end stability, however, makes the separate treatment unnecessary. Introduction of the additional terms was tested with three optical melting experiments. The average absolute difference between measured and predicted free energy changes at 37°C for these three duplexes containing terminal adjacent AU and GU pairs improved from 1.38 to 0.27 kcal/mol. This confirms the need for the additional sequence dependence in the model.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2022        PMID: 35524574      PMCID: PMC9122537          DOI: 10.1093/nar/gkac261

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  144 in total

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Authors:  Blessy M Suresh; Weichao Li; Peiyuan Zhang; Kye Won Wang; Ilyas Yildirim; Christopher G Parker; Matthew D Disney
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9.  LinearPartition: linear-time approximation of RNA folding partition function and base-pairing probabilities.

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Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

10.  Small-molecule targeted recruitment of a nuclease to cleave an oncogenic RNA in a mouse model of metastatic cancer.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-21       Impact factor: 11.205

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