Document Detail

Statistical analysis of SHAPE-directed RNA secondary structure modeling.
MedLine Citation:
PMID:  23286327     Owner:  NLM     Status:  MEDLINE    
The ability to predict RNA secondary structure is fundamental for understanding and manipulating RNA function. The information obtained from selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) experiments greatly improves the accuracy of RNA secondary structure prediction. Recently, Das and colleagues [Kladwang, W., et al. (2011) Biochemistry 50, 8049-8056] proposed a "bootstrapping" approach for estimating the variance and helix-by-helix confidence levels of predicted secondary structures based on resampling (randomizing and summing) the measured SHAPE data. We show that the specific resampling approach described by Kladwang et al. introduces systematic errors and underestimates confidence in secondary structure prediction using SHAPE data. Instead, a leave-data-out jackknife approach better estimates the influence of a given experimental data set on SHAPE-directed secondary structure modeling. Even when 35% of the data were left out in the jackknife approach, the confidence levels of SHAPE-directed secondary structure prediction were significantly higher than those calculated by Das and colleagues using bootstrapping. Helix confidence levels were thus underestimated in the recent study, and the resampling approach implemented by Kladwang et al. is not an appropriate metric for evaluating SHAPE-directed secondary structure modeling.
Srinivas Ramachandran; Feng Ding; Kevin M Weeks; Nikolay V Dokholyan
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Publication Detail:
Type:  Comment; Journal Article; Research Support, N.I.H., Extramural     Date:  2013-01-14
Journal Detail:
Title:  Biochemistry     Volume:  52     ISSN:  1520-4995     ISO Abbreviation:  Biochemistry     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-01-29     Completed Date:  2013-03-25     Revised Date:  2014-01-30    
Medline Journal Info:
Nlm Unique ID:  0370623     Medline TA:  Biochemistry     Country:  United States    
Other Details:
Languages:  eng     Pagination:  596-9     Citation Subset:  IM    
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MeSH Terms
Models, Genetic*
Nucleic Acid Conformation*
RNA, Bacterial / genetics*
RNA, Ribosomal, 5S / chemistry*
RNA, Transfer / chemistry*
Grant Support
Reg. No./Substance:
0/RNA, Bacterial; 0/RNA, Ribosomal, 5S; 9014-25-9/RNA, Transfer
Comment On:
Biochemistry. 2011 Sep 20;50(37):8049-56   [PMID:  21842868 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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