Testing the Nearest Neighbor Model for Canonical RNA Base Pairs: Revision of GU Parameters
Author(s) -
Jonathan L. Chen,
Abigael L. Dishler,
Scott D. Kennedy,
Ilyas Yildirim,
Biao Liu,
Douglas H. Turner,
Martin J. Serra
Publication year - 2012
Publication title -
biochemistry
Language(s) - English
Resource type - Journals
eISSN - 1520-4995
pISSN - 0006-2960
DOI - 10.1021/bi3002709
Subject(s) - rna , base pair , protein secondary structure , k nearest neighbors algorithm , nucleic acid secondary structure , crystallography , chemistry , melting temperature , combinatorics , physics , dna , mathematics , biochemistry , computer science , materials science , gene , artificial intelligence , composite material
Thermodynamic parameters for GU pairs are important for predicting the secondary structures of RNA and for finding genomic sequences that code for structured RNA. Optical melting curves were measured for 29 RNA duplexes with GU pairs to improve nearest neighbor parameters for predicting stabilities of helixes. The updated model eliminates a prior penalty assumed for terminal GU pairs. Six additional duplexes with the 5'GG/3'UU motif were added to the single representation in the previous database. This revises the ΔG°(37) for the 5'GG/3'UU motif from an unfavorable 0.5 kcal/mol to a favorable -0.2 kcal/mol. Similarly, the ΔG°(37) for the 5'UG/3'GU motif changes from 0.3 to -0.6 kcal/mol. The correlation coefficients between predicted and experimental ΔG°(37), ΔH°, and ΔS° for the expanded database are 0.95, 0.89, and 0.87, respectively. The results should improve predictions of RNA secondary structure.
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