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 *

279 related articles for article (PubMed ID: 17130160)

  • 1. 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]  

  • 2. 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]  

  • 3. Optimal protein-RNA area, OPRA: a propensity-based method to identify RNA-binding sites on proteins.
    Pérez-Cano L; Fernández-Recio J
    Proteins; 2010 Jan; 78(1):25-35. PubMed ID: 19714772
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new residue-nucleotide propensity potential with structural information considered for discriminating protein-RNA docking decoys.
    Li CH; Cao LB; Su JG; Yang YX; Wang CX
    Proteins; 2012 Jan; 80(1):14-24. PubMed ID: 21953889
    [TBL] [Abstract][Full Text] [Related]  

  • 5. BIPA: a database for protein-nucleic acid interaction in 3D structures.
    Lee S; Blundell TL
    Bioinformatics; 2009 Jun; 25(12):1559-60. PubMed ID: 19357098
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A new hydrogen-bonding potential for the design of protein-RNA interactions predicts specific contacts and discriminates decoys.
    Chen Y; Kortemme T; Robertson T; Baker D; Varani G
    Nucleic Acids Res; 2004; 32(17):5147-62. PubMed ID: 15459285
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Exploiting three kinds of interface propensities to identify protein binding sites.
    Liu B; Wang X; Lin L; Dong Q; Wang X
    Comput Biol Chem; 2009 Aug; 33(4):303-11. PubMed ID: 19646926
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Geometric similarity between protein-RNA interfaces.
    Zhou P; Zou J; Tian F; Shang Z
    J Comput Chem; 2009 Dec; 30(16):2738-51. PubMed ID: 19399760
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Structure based approach for understanding organism specific recognition of protein-RNA complexes.
    Nagarajan R; Chothani SP; Ramakrishnan C; Sekijima M; Gromiha MM
    Biol Direct; 2015 Mar; 10():8. PubMed ID: 25886642
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Optimised amino acid specific weighting factors for unbound protein docking.
    Heuser P; Schomburg D
    BMC Bioinformatics; 2006 Jul; 7():344. PubMed ID: 16842615
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.
    Kumar M; Gromiha MM; Raghava GP
    J Mol Recognit; 2011; 24(2):303-13. PubMed ID: 20677174
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. N-terminal N-myristoylation of proteins: prediction of substrate proteins from amino acid sequence.
    Maurer-Stroh S; Eisenhaber B; Eisenhaber F
    J Mol Biol; 2002 Apr; 317(4):541-57. PubMed ID: 11955008
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Strengths and weaknesses of data-driven docking in critical assessment of prediction of interactions.
    de Vries SJ; Melquiond AS; Kastritis PL; Karaca E; Bordogna A; van Dijk M; Rodrigues JP; Bonvin AM
    Proteins; 2010 Nov; 78(15):3242-9. PubMed ID: 20718048
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of the interaction site on the surface of an isolated protein structure by analysis of side chain energy scores.
    Liang S; Zhang J; Zhang S; Guo H
    Proteins; 2004 Nov; 57(3):548-57. PubMed ID: 15382230
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Protein-nucleic acid recognition: statistical analysis of atomic interactions and influence of DNA structure.
    Lejeune D; Delsaux N; Charloteaux B; Thomas A; Brasseur R
    Proteins; 2005 Nov; 61(2):258-71. PubMed ID: 16121397
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Intramolecular surface contacts contain information about protein-protein interface regions.
    de Vries SJ; Bonvin AM
    Bioinformatics; 2006 Sep; 22(17):2094-8. PubMed ID: 16766554
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Amino acid propensities for secondary structures are influenced by the protein structural class.
    Costantini S; Colonna G; Facchiano AM
    Biochem Biophys Res Commun; 2006 Apr; 342(2):441-51. PubMed ID: 16487481
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins.
    Dong Q; Wang X; Lin L; Guan Y
    BMC Bioinformatics; 2007 May; 8():147. PubMed ID: 17480235
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.