A new approach for detecting riboswitches in DNA sequences

被引:21
作者
Havill, Jessen T. [1 ]
Bhatiya, Chinmoy [3 ]
Johnson, Steven M. [4 ]
Sheets, Joseph D. [5 ]
Thompson, Jeffrey S. [2 ]
机构
[1] Denison Univ, Dept Math & Comp Sci, Granville, OH 43023 USA
[2] Denison Univ, Dept Biol, Granville, OH 43023 USA
[3] Capco, New York, NY 10005 USA
[4] Wake Forest Univ, Dept Comp Sci, Winston Salem, NC 27109 USA
[5] Michigan State Univ, Coll Human Med, Grand Rapids, MI 49503 USA
关键词
HIDDEN MARKOV-MODELS; BINDING RIBOSWITCHES; SECONDARY STRUCTURE; GENETIC-CONTROL; RNA; IDENTIFICATION; SHAPES; MOTIFS;
D O I
10.1093/bioinformatics/btu479
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Riboswitches are short sequences of messenger RNA that can change their structural conformation to regulate the expression of adjacent genes. Computational prediction of putative riboswitches can provide direction to molecular biologists studying riboswitch-mediated gene expression. Results: The Denison Riboswitch Detector (DRD) is a new computational tool with a Web interface that can quickly identify putative riboswitches in DNA sequences on the scale of bacterial genomes. Riboswitch descriptions are easily modifiable and new ones are easily created. The underlying algorithm converts the problem to a 'heaviest path' problem on a multipartite graph, which is then solved using efficient dynamic programming. We show that DRD can achieve similar to 88-99% sensitivity and > 99.99% specificity on 13 riboswitch families.
引用
收藏
页码:3012 / 3019
页数:8
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