130 related articles for article (PubMed ID: 28730879)
21. Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data.
Wu Y; Shi B; Ding X; Liu T; Hu X; Yip KY; Yang ZR; Mathews DH; Lu ZJ
Nucleic Acids Res; 2015 Sep; 43(15):7247-59. PubMed ID: 26170232
[TBL] [Abstract][Full Text] [Related]
22. A sensitivity analysis of RNA folding nearest neighbor parameters identifies a subset of free energy parameters with the greatest impact on RNA secondary structure prediction.
Zuber J; Sun H; Zhang X; McFadyen I; Mathews DH
Nucleic Acids Res; 2017 Jun; 45(10):6168-6176. PubMed ID: 28334976
[TBL] [Abstract][Full Text] [Related]
23. DSARna: RNA Secondary Structure Alignment Based on Digital Sequence Representation.
Gao L; Xu C; Song W; Xiao F; Wu X; Shi L; Sun Y; Li J
Comb Chem High Throughput Screen; 2021; 24(7):1042-1054. PubMed ID: 32781956
[TBL] [Abstract][Full Text] [Related]
24. A new algorithm for RNA secondary structure design.
Andronescu M; Fejes AP; Hutter F; Hoos HH; Condon A
J Mol Biol; 2004 Feb; 336(3):607-24. PubMed ID: 15095976
[TBL] [Abstract][Full Text] [Related]
25. Research on folding diversity in statistical learning methods for RNA secondary structure prediction.
Zhu Y; Xie Z; Li Y; Zhu M; Chen YP
Int J Biol Sci; 2018; 14(8):872-882. PubMed ID: 29989089
[TBL] [Abstract][Full Text] [Related]
26. A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences.
Ji Y; Xu X; Stormo GD
Bioinformatics; 2004 Jul; 20(10):1591-602. PubMed ID: 14962926
[TBL] [Abstract][Full Text] [Related]
27. Identifying complete RNA structural ensembles including pseudoknots.
Gupta A; Rahman R; Li K; Gribskov M
RNA Biol; 2012 Feb; 9(2):187-99. PubMed ID: 22418849
[TBL] [Abstract][Full Text] [Related]
28. Prediction of common secondary structures of RNAs: a genetic algorithm approach.
Chen JH; Le SY; Maizel JV
Nucleic Acids Res; 2000 Feb; 28(4):991-9. PubMed ID: 10648793
[TBL] [Abstract][Full Text] [Related]
29. Novel and efficient RNA secondary structure prediction using hierarchical folding.
Jabbari H; Condon A; Zhao S
J Comput Biol; 2008 Mar; 15(2):139-63. PubMed ID: 18312147
[TBL] [Abstract][Full Text] [Related]
30. StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure Prediction.
Tang M; Hwang K; Kang SH
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):3278-3291. PubMed ID: 37028040
[TBL] [Abstract][Full Text] [Related]
31. A statistical analysis of RNA folding algorithms through thermodynamic parameter perturbation.
Layton DM; Bundschuh R
Nucleic Acids Res; 2005; 33(2):519-24. PubMed ID: 15673712
[TBL] [Abstract][Full Text] [Related]
32. [Predicting RNA secondary structures including pseudoknots by covariance with stacking and minimum free energy].
Yang J; Luo Z; Fang X; Wang J; Tang K
Sheng Wu Gong Cheng Xue Bao; 2008 Apr; 24(4):659-64. PubMed ID: 18616179
[TBL] [Abstract][Full Text] [Related]
33. [IC-kmedoids: a clustering algorithm for RNA secondary structure prediction].
Wang C; Liu X; Wang B; Liu W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Feb; 32(1):99-103. PubMed ID: 25997274
[TBL] [Abstract][Full Text] [Related]
34. Statistical and Bayesian approaches to RNA secondary structure prediction.
Ding Y
RNA; 2006 Mar; 12(3):323-31. PubMed ID: 16495231
[TBL] [Abstract][Full Text] [Related]
35. RNA secondary structure prediction with pseudoknots: Contribution of algorithm versus energy model.
Jabbari H; Wark I; Montemagno C
PLoS One; 2018; 13(4):e0194583. PubMed ID: 29621250
[TBL] [Abstract][Full Text] [Related]
36. RNA structure prediction: an overview of methods.
Seetin MG; Mathews DH
Methods Mol Biol; 2012; 905():99-122. PubMed ID: 22736001
[TBL] [Abstract][Full Text] [Related]
37. Limits in accuracy and a strategy of RNA structure prediction using experimental information.
Wang J; Williams B; Chirasani VR; Krokhotin A; Das R; Dokholyan NV
Nucleic Acids Res; 2019 Jun; 47(11):5563-5572. PubMed ID: 31106330
[TBL] [Abstract][Full Text] [Related]
38. RNA secondary structure prediction based on SHAPE data in helix regions.
Lotfi M; Zare-Mirakabad F; Montaseri S
J Theor Biol; 2015 Sep; 380():178-82. PubMed ID: 26037307
[TBL] [Abstract][Full Text] [Related]
39. RNA secondary structure prediction using highly parallel computers.
Nakaya A; Yamamoto K; Yonezawa A
Comput Appl Biosci; 1995 Dec; 11(6):685-92. PubMed ID: 8808586
[TBL] [Abstract][Full Text] [Related]
40. Statistical potentials for hairpin and internal loops improve the accuracy of the predicted RNA structure.
Gardner DP; Ren P; Ozer S; Gutell RR
J Mol Biol; 2011 Oct; 413(2):473-83. PubMed ID: 21889515
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]