These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 33805944)

  • 1. Improving RNA Branching Predictions: Advances and Limitations.
    Poznanović S; Wood C; Cloer M; Heitsch C
    Genes (Basel); 2021 Mar; 12(4):. PubMed ID: 33805944
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure prediction.
    Doshi KJ; Cannone JJ; Cobaugh CW; Gutell RR
    BMC Bioinformatics; 2004 Aug; 5():105. PubMed ID: 15296519
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The challenge of RNA branching prediction: a parametric analysis of multiloop initiation under thermodynamic optimization.
    Poznanović S; Barrera-Cruz F; Kirkpatrick A; Ielusic M; Heitsch C
    J Struct Biol; 2020 Apr; 210(1):107475. PubMed ID: 32032754
    [TBL] [Abstract][Full Text] [Related]  

  • 4. RNA secondary structure prediction based on free energy and phylogenetic analysis.
    Juan V; Wilson C
    J Mol Biol; 1999 Jun; 289(4):935-47. PubMed ID: 10369773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Moments of the Boltzmann distribution for RNA secondary structures.
    Miklós I; Meyer IM; Nagy B
    Bull Math Biol; 2005 Sep; 67(5):1031-47. PubMed ID: 15998494
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of energy-based algorithms for RNA secondary structure prediction.
    Hajiaghayi M; Condon A; Hoos HH
    BMC Bioinformatics; 2012 Feb; 13():22. PubMed ID: 22296803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Advanced multi-loop algorithms for RNA secondary structure prediction reveal that the simplest model is best.
    Ward M; Datta A; Wise M; Mathews DH
    Nucleic Acids Res; 2017 Aug; 45(14):8541-8550. PubMed ID: 28586479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A set of nearest neighbor parameters for predicting the enthalpy change of RNA secondary structure formation.
    Lu ZJ; Turner DH; Mathews DH
    Nucleic Acids Res; 2006; 34(17):4912-24. PubMed ID: 16982646
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynalign: an algorithm for finding the secondary structure common to two RNA sequences.
    Mathews DH; Turner DH
    J Mol Biol; 2002 Mar; 317(2):191-203. PubMed ID: 11902836
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The 3D arrangement of the 23 S and 5 S rRNA in the Escherichia coli 50 S ribosomal subunit based on a cryo-electron microscopic reconstruction at 7.5 A resolution.
    Mueller F; Sommer I; Baranov P; Matadeen R; Stoldt M; Wöhnert J; Görlach M; van Heel M; Brimacombe R
    J Mol Biol; 2000 Apr; 298(1):35-59. PubMed ID: 10756104
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of RNA nearest neighbor parameters reveals interdependencies and quantifies the uncertainty in RNA secondary structure prediction.
    Zuber J; Cabral BJ; McFadyen I; Mauger DM; Mathews DH
    RNA; 2018 Nov; 24(11):1568-1582. PubMed ID: 30104207
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cofolga: a genetic algorithm for finding the common folding of two RNAs.
    Taneda A
    Comput Biol Chem; 2005 Apr; 29(2):111-9. PubMed ID: 15833439
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computing the probability of RNA hairpin and multiloop formation.
    Ding Y; Lorenz WA; Dotu I; Senter E; Clote P
    J Comput Biol; 2014 Mar; 21(3):201-18. PubMed ID: 24559086
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Statistical evaluation of improvement in RNA secondary structure prediction.
    Xu Z; Almudevar A; Mathews DH
    Nucleic Acids Res; 2012 Feb; 40(4):e26. PubMed ID: 22139940
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Blind tests of RNA nearest-neighbor energy prediction.
    Chou FC; Kladwang W; Kappel K; Das R
    Proc Natl Acad Sci U S A; 2016 Jul; 113(30):8430-5. PubMed ID: 27402765
    [TBL] [Abstract][Full Text] [Related]  

  • 16. How Parameters Influence SHAPE-Directed Predictions.
    Greenwood T; Heitsch CE
    Methods Mol Biol; 2024; 2726():105-124. PubMed ID: 38780729
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new method to predict the consensus secondary structure of a set of unaligned RNA sequences.
    Bouthinon D; Soldano H
    Bioinformatics; 1999 Oct; 15(10):785-98. PubMed ID: 10705432
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unfolding of the tertiary structure of specific tRNA and ribosomal 5S RNA from plants as studied with hydroxyl radicals.
    Barciszewska MZ; Barciszewski J; Erdmann VA
    Int J Biol Macromol; 1992 Feb; 14(1):41-4. PubMed ID: 1317717
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Thermodynamics of three-way multibranch loops in RNA.
    Diamond JM; Turner DH; Mathews DH
    Biochemistry; 2001 Jun; 40(23):6971-81. PubMed ID: 11389613
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Statistical prediction of single-stranded regions in RNA secondary structure and application to predicting effective antisense target sites and beyond.
    Ding Y; Lawrence CE
    Nucleic Acids Res; 2001 Mar; 29(5):1034-46. PubMed ID: 11222752
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.