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 *

186 related articles for article (PubMed ID: 22174808)

  • 1. Exploiting a reduced set of weighted average features to improve prediction of DNA-binding residues from 3D structures.
    Xiong Y; Xia J; Zhang W; Liu J
    PLoS One; 2011; 6(12):e28440. PubMed ID: 22174808
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Residue-level prediction of DNA-binding sites and its application on DNA-binding protein predictions.
    Bhardwaj N; Lu H
    FEBS Lett; 2007 Mar; 581(5):1058-66. PubMed ID: 17316627
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Predicting DNA-binding sites of proteins from amino acid sequence.
    Yan C; Terribilini M; Wu F; Jernigan RL; Dobbs D; Honavar V
    BMC Bioinformatics; 2006 May; 7():262. PubMed ID: 16712732
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature.
    Wu J; Liu H; Duan X; Ding Y; Wu H; Bai Y; Sun X
    Bioinformatics; 2009 Jan; 25(1):30-5. PubMed ID: 19008251
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation.
    Zhou J; Lu Q; Xu R; He Y; Wang H
    BMC Bioinformatics; 2017 Aug; 18(1):379. PubMed ID: 28851273
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC.
    Rahman MS; Shatabda S; Saha S; Kaykobad M; Rahman MS
    J Theor Biol; 2018 Sep; 452():22-34. PubMed ID: 29753757
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sequence-based prediction of DNA-binding residues in proteins with conservation and correlation information.
    Ma X; Guo J; Liu HD; Xie JM; Sun X
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1766-75. PubMed ID: 22868682
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information.
    An JY; You ZH; Chen X; Huang DS; Yan G; Wang DF
    Mol Biosyst; 2016 Nov; 12(12):3702-3710. PubMed ID: 27759121
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces.
    Xiong Y; Zhu X; Dai H; Wei DQ
    Methods Mol Biol; 2018; 1754():223-234. PubMed ID: 29536446
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Prediction of DNA-binding residues from protein sequence information using random forests.
    Wang L; Yang MQ; Yang JY
    BMC Genomics; 2009 Jul; 10 Suppl 1(Suppl 1):S1. PubMed ID: 19594868
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.
    Xia JF; Zhao XM; Song J; Huang DS
    BMC Bioinformatics; 2010 Apr; 11():174. PubMed ID: 20377884
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
    Su EC; Chang JM; Cheng CW; Sung TY; Hsu WL
    BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S13. PubMed ID: 23282098
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computational learning on specificity-determining residue-nucleotide interactions.
    Wong KC; Li Y; Peng C; Moses AM; Zhang Z
    Nucleic Acids Res; 2015 Dec; 43(21):10180-9. PubMed ID: 26527718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.