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. Author manuscript; available in PMC: 2013 Jul 27.
Published in final edited form as: Nat Chem. 2011 Oct 30;3(12):954–962. doi: 10.1038/nchem.1176

Table 1.

Accuracy of RNA secondary structure models.

RNA Length Number of helices
Cryst. No data
1D
1D + 2D
2D
TP FP TP FP TP FP TP FP
Adenine riboswitch 71 3 2 3 3 0 (1) 3 0 (1) 3 0 (1)
tRNAphe 76 4 2 3 3 1 4 0 4 0
P4–P6 RNA 158 11 10 1 9 2 9 2 11 0
5S rRNA 118 7 1 9 6 3 7 0 (1) 7 0 (1)
c-di-GMP riboswitch 80 8 6 2 6 2 7 1 7 1
Glycine riboswitch 158 9 5 3 8 1 9 0 9 0
Total 661 42 26 21 35 9 (10) 39 3 (5) 41 1 (3)
False negative rate§ 38.1% 16.7% 7.1% 2.4%
False discovery rate|| 44.7% 20.4 (22.2)% 7.1 (11.4)% 2.3 (6.8)%

Length of RNA in nucleotides.

Cryst, number of helices in crystallographic model; TP, true positive helices; FP, false positive helices; 1D, models using one-dimensional SHAPE chemical mapping data; 2D, models using mutate-and-map data. For FP, a helix was considered incorrect if its base pairs did not match the majority of base pairs in a crystallographic helix. Numbers in parentheses required that the matching crystallographic base pairs have Watson–Crick geometry.

Ligand-binding riboswitches were probed in the presence of small-molecule partners (5 mM adenine, 10 μM cyclic di-guanosine-monophosphate or 10 mM glycine). All experiments were carried out with 10 mM MgCl2, 50 mM Na-HEPES, pH 8.0.

§

False negative rate = (Cryst–TP)/TP.

||

False discovery rate = FP/(FP + TP). Numbers in parentheses count matches of model base pairs to non-Watson–Crick crystallographic base pairs as false discoveries.