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Predicting helical coaxial stacking in RNA multibranch loops
被引:51
作者:
Tyagi, Rahul
Mathews, David H.
机构:
[1] Univ Rochester, Med Ctr, Dept Biostat & Computat Biol, Rochester, NY 14642 USA
[2] Univ Rochester, Med Ctr, Dept Biochem & Biophys, Rochester, NY 14642 USA
来源:
关键词:
coaxial stacking;
RNA structure;
multibranch loop;
helical junction;
dynamic programming;
partition function;
nearest-neighbor model;
D O I:
10.1261/rna.305307
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
The hypothesis that RNA coaxial stacking can be predicted by free energy minimization using nearest- neighbor parameters is tested. The results show 58.2% positive predictive value ( PPV) and 65.7% sensitivity for accuracy of the lowest free energy configuration compared with crystal structures. The probability of each stacking configuration can be predicted using a partition function calculation. Based on the dependence of accuracy on the calculated probability of the stacks, a probability threshold of 0.7 was chosen for predicting coaxial stacks. When scoring these likely stacks, the PPV was 66.7% at a sensitivity of 51.9%. It is observed that the coaxial stacks of helices that are not separated by unpaired nucleotides can be predicted with a significantly higher accuracy ( 74.0% PPV, 66.1% sensitivity) than the coaxial stacks mediated by noncanonical base pairs ( 55.9% PPV, 36.5% sensitivity). It is also shown that the prediction accuracy does not show any obvious trend with multibranch loop complexity as measured by three different parameters.
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页码:939 / 951
页数:13
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