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 *

255 related articles for article (PubMed ID: 19835626)

  • 1. Exploiting structural and topological information to improve prediction of RNA-protein binding sites.
    Maetschke SR; Yuan Z
    BMC Bioinformatics; 2009 Oct; 10():341. PubMed ID: 19835626
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
    Walia RR; Caragea C; Lewis BA; Towfic F; Terribilini M; El-Manzalawy Y; Dobbs D; Honavar V
    BMC Bioinformatics; 2012 May; 13():89. PubMed ID: 22574904
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of protein-RNA binding sites by a random forest method with combined features.
    Liu ZP; Wu LY; Wang Y; Zhang XS; Chen L
    Bioinformatics; 2010 Jul; 26(13):1616-22. PubMed ID: 20483814
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Struct-NB: predicting protein-RNA binding sites using structural features.
    Towfic F; Caragea C; Gemperline DC; Dobbs D; Honavar V
    Int J Data Min Bioinform; 2010; 4(1):21-43. PubMed ID: 20300450
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accurate prediction of RNA-binding protein residues with two discriminative structural descriptors.
    Sun M; Wang X; Zou C; He Z; Liu W; Li H
    BMC Bioinformatics; 2016 Jun; 17(1):231. PubMed ID: 27266516
    [TBL] [Abstract][Full Text] [Related]  

  • 6. RBRDetector: improved prediction of binding residues on RNA-binding protein structures using complementary feature- and template-based strategies.
    Yang XX; Deng ZL; Liu R
    Proteins; 2014 Oct; 82(10):2455-71. PubMed ID: 24854765
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of RNA-binding amino acids from protein and RNA sequences.
    Choi S; Han K
    BMC Bioinformatics; 2011; 12 Suppl 13(Suppl 13):S7. PubMed ID: 22373313
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Protein function annotation from sequence: prediction of residues interacting with RNA.
    Spriggs RV; Murakami Y; Nakamura H; Jones S
    Bioinformatics; 2009 Jun; 25(12):1492-7. PubMed ID: 19389733
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A MOTIF-BASED METHOD FOR PREDICTING INTERFACIAL RESIDUES IN BOTH THE RNA AND PROTEIN COMPONENTS OF PROTEIN-RNA COMPLEXES.
    Muppirala U; Lewis BA; Mann CM; Dobbs D
    Pac Symp Biocomput; 2016; 21():445-455. PubMed ID: 26776208
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RNA-binding residues prediction using structural features.
    Ren H; Shen Y
    BMC Bioinformatics; 2015 Aug; 16():249. PubMed ID: 26254826
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A boosting approach for prediction of protein-RNA binding residues.
    Tang Y; Liu D; Wang Z; Wen T; Deng L
    BMC Bioinformatics; 2017 Dec; 18(Suppl 13):465. PubMed ID: 29219069
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Amino acid residue doublet propensity in the protein-RNA interface and its application to RNA interface prediction.
    Kim OT; Yura K; Go N
    Nucleic Acids Res; 2006; 34(22):6450-60. PubMed ID: 17130160
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computational Prediction of RNA-Binding Proteins and Binding Sites.
    Si J; Cui J; Cheng J; Wu R
    Int J Mol Sci; 2015 Nov; 16(11):26303-17. PubMed ID: 26540053
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting protein-binding RNA nucleotides using the feature-based removal of data redundancy and the interaction propensity of nucleotide triplets.
    Choi S; Han K
    Comput Biol Med; 2013 Nov; 43(11):1687-97. PubMed ID: 24209914
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computational prediction of heme-binding residues by exploiting residue interaction network.
    Liu R; Hu J
    PLoS One; 2011; 6(10):e25560. PubMed ID: 21991319
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature.
    Ma X; Guo J; Wu J; Liu H; Yu J; Xie J; Sun X
    Proteins; 2011 Apr; 79(4):1230-9. PubMed ID: 21268114
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of RNA binding sites in proteins from amino acid sequence.
    Terribilini M; Lee JH; Yan C; Jernigan RL; Honavar V; Dobbs D
    RNA; 2006 Aug; 12(8):1450-62. PubMed ID: 16790841
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of RNA-binding sites in proteins by integrating various sequence information.
    Wang CC; Fang Y; Xiao J; Li M
    Amino Acids; 2011 Jan; 40(1):239-48. PubMed ID: 20549269
    [TBL] [Abstract][Full Text] [Related]  

  • 19. De novo prediction of RNA-protein interactions from sequence information.
    Wang Y; Chen X; Liu ZP; Huang Q; Wang Y; Xu D; Zhang XS; Chen R; Chen L
    Mol Biosyst; 2013 Jan; 9(1):133-42. PubMed ID: 23138266
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PiRaNhA: a server for the computational prediction of RNA-binding residues in protein sequences.
    Murakami Y; Spriggs RV; Nakamura H; Jones S
    Nucleic Acids Res; 2010 Jul; 38(Web Server issue):W412-6. PubMed ID: 20507911
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.