Predicting structures and stabilities for H-type pseudoknots with interhelix loops

被引:77
作者
Cao, Song
Chen, Shi-Jie [1 ]
机构
[1] Univ Missouri, Dept Phys, Columbia, MO 65211 USA
关键词
RNA folding; RNA pseudoknot; interhelix loop; structural predictions; folding thermodynamics; RNA SECONDARY STRUCTURE; DELTA VIRUS RIBOZYME; RIBOSOMAL FRAMESHIFTING SIGNAL; DYNAMIC-PROGRAMMING ALGORITHM; HIV-1; REVERSE-TRANSCRIPTASE; VIRTUAL BOND MODEL; INCLUDING PSEUDOKNOTS; FOLDING THERMODYNAMICS; POLYNUCLEOTIDE CHAINS; SEQUENCE DEPENDENCE;
D O I
10.1261/rna.1429009
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
RNA pseudoknots play a critical role in RNA-related biology from the assembly of ribosome to the regulation of viral gene expression. A predictive model for pseudoknot structure and stability is essential for understanding and designing RNA structure and function. A previous statistical mechanical theory allows us to treat canonical H-type RNA pseudoknots that contain no intervening loop between the helices (see S. Cao and S.J. Chen [2006] in Nucleic Acids Research, Vol. 34; pp. 2634-2652). Biologically significant RNA pseudoknots often contain interhelix loops. Predicting the structure and stability for such more-general pseudoknots remains an unsolved problem. In the present study, we develop a predictive model for pseudoknots with interhelix loops. The model gives conformational entropy, stability, and the free-energy landscape from RNA sequences. The main features of this new model are the computation of the conformational entropy and folding free-energy base on the complete conformational ensemble and rigorous treatment for the excluded volume effects. Extensive tests for the structural predictions show overall good accuracy with average sensitivity and specificity equal to 0.91 and 0.91, respectively. The theory developed here may be a solid starting point for first-principles modeling of more complex, larger RNAs.
引用
收藏
页码:696 / 706
页数:11
相关论文
共 83 条
[1]   OPTIMIZED PARAMETERS FOR RNA DOUBLE-HELICES [J].
ARNOTT, S ;
HUKINS, DWL ;
DOVER, SD .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 1972, 48 (06) :1392-&
[2]   Topological classification of RNA structures [J].
Bon, Michael ;
Vernizzi, Graziano ;
Orland, Henri ;
Zee, A. .
JOURNAL OF MOLECULAR BIOLOGY, 2008, 379 (04) :900-911
[3]   CHARACTERIZATION OF AN EFFICIENT CORONAVIRUS RIBOSOMAL FRAMESHIFTING SIGNAL - REQUIREMENT FOR AN RNA PSEUDOKNOT [J].
BRIERLEY, I ;
DIGARD, P ;
INGLIS, SC .
CELL, 1989, 57 (04) :537-547
[4]   RNA pseudoknots and the regulation of protein synthesis [J].
Brierley, Ian ;
Gilbert, Robert J. C. ;
Pennell, Simon .
BIOCHEMICAL SOCIETY TRANSACTIONS, 2008, 36 :684-689
[5]   Viral RNA pseudoknots: versatile motifs in gene expression and replication [J].
Brierley, Ian ;
Pennell, Simon ;
Gilbert, Robert J. C. .
NATURE REVIEWS MICROBIOLOGY, 2007, 5 (08) :598-610
[6]   Bent pseudoknots and novel RNA inhibitors of type 1 human immunodeficiency virus (HIV-1) reverse transcriptase [J].
Burke, DH ;
Scates, L ;
Andrews, K ;
Gold, L .
JOURNAL OF MOLECULAR BIOLOGY, 1996, 264 (04) :650-666
[7]   Free energy landscapes of RNA/RNA complexes: With applications to snRNA complexes in spliceosomes [J].
Cao, S ;
Chen, SJ .
JOURNAL OF MOLECULAR BIOLOGY, 2006, 357 (01) :292-312
[8]   Predicting RNA folding thermodynamics with a reduced chain representation model [J].
Cao, S ;
Chen, SJ .
RNA, 2005, 11 (12) :1884-1897
[9]   Predicting RNA pseudoknot folding thermodynamics [J].
Cao, Song ;
Chen, Shi-Jie .
NUCLEIC ACIDS RESEARCH, 2006, 34 (09) :2634-2652
[10]   Predicting ribosomal frameshifting efficiency [J].
Cao, Song ;
Chen, Shi-Jie .
PHYSICAL BIOLOGY, 2008, 5 (01)