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 *

113 related articles for article (PubMed ID: 23288787)

  • 21. Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites.
    Zhu YH; Hu J; Qi Y; Song XN; Yu DJ
    Comb Chem High Throughput Screen; 2019; 22(7):455-469. PubMed ID: 31553288
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Predicting small ligand binding sites in proteins using backbone structure.
    Bordner AJ
    Bioinformatics; 2008 Dec; 24(24):2865-71. PubMed ID: 18940825
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Predicting the three-dimensional structure of human P-glycoprotein in absence of ATP by computational techniques embodying crosslinking data: insight into the mechanism of ligand migration and binding sites.
    Vandevuer S; Van Bambeke F; Tulkens PM; Prévost M
    Proteins; 2006 May; 63(3):466-78. PubMed ID: 16463278
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features.
    Zhang YN; Yu DJ; Li SS; Fan YX; Huang Y; Shen HB
    BMC Bioinformatics; 2012 May; 13():118. PubMed ID: 22651691
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Prediction of small molecule binding property of protein domains with Bayesian classifiers based on Markov chains.
    Bulashevska A; Stein M; Jackson D; Eils R
    Comput Biol Chem; 2009 Dec; 33(6):457-60. PubMed ID: 19892602
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An accurate feature-based method for identifying DNA-binding residues on protein surfaces.
    Xiong Y; Liu J; Wei DQ
    Proteins; 2011 Feb; 79(2):509-17. PubMed ID: 21069866
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Computational approaches to identifying and characterizing protein binding sites for ligand design.
    Henrich S; Salo-Ahen OM; Huang B; Rippmann FF; Cruciani G; Wade RC
    J Mol Recognit; 2010; 23(2):209-19. PubMed ID: 19746440
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A molecular dynamics ensemble-based approach for the mapping of druggable binding sites.
    Ivetac A; McCammon JA
    Methods Mol Biol; 2012; 819():3-12. PubMed ID: 22183526
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Protein ligand-specific binding residue predictions by an ensemble classifier.
    Hu X; Wang K; Dong Q
    BMC Bioinformatics; 2016 Nov; 17(1):470. PubMed ID: 27855637
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Predicting the multi-modal binding propensity of small molecules: towards an understanding of drug promiscuity.
    Park K; Lee S; Ahn HS; Kim D
    Mol Biosyst; 2009 Aug; 5(8):844-53. PubMed ID: 19603120
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Combining features in a graphical model to predict protein binding sites.
    Wierschin T; Wang K; Welter M; Waack S; Stanke M
    Proteins; 2015 May; 83(5):844-52. PubMed ID: 25663045
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Recognition templates for predicting adenylate-binding sites in proteins.
    Zhao S; Morris GM; Olson AJ; Goodsell DS
    J Mol Biol; 2001 Dec; 314(5):1245-55. PubMed ID: 11743737
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Molecular determinants for ATP-binding in proteins: a data mining and quantum chemical analysis.
    Mao L; Wang Y; Liu Y; Hu X
    J Mol Biol; 2004 Feb; 336(3):787-807. PubMed ID: 15095988
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Accurate sequence-based prediction of catalytic residues.
    Zhang T; Zhang H; Chen K; Shen S; Ruan J; Kurgan L
    Bioinformatics; 2008 Oct; 24(20):2329-38. PubMed ID: 18710875
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A consensus-binding structure for adenine at the atomic level permits searching for the ligand site in a wide spectrum of adenine-containing complexes.
    Kuttner YY; Sobolev V; Raskind A; Edelman M
    Proteins; 2003 Aug; 52(3):400-11. PubMed ID: 12866051
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of protein-protein interaction sites using support vector machines.
    Koike A; Takagi T
    Protein Eng Des Sel; 2004 Feb; 17(2):165-73. PubMed ID: 15047913
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. MIonSite: Ligand-specific prediction of metal ion-binding sites via enhanced AdaBoost algorithm with protein sequence information.
    Qiao L; Xie D
    Anal Biochem; 2019 Feb; 566():75-88. PubMed ID: 30414728
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A novel method for prediction of protein interaction sites based on integrated RBF neural networks.
    Chen Y; Xu J; Yang B; Zhao Y; He W
    Comput Biol Med; 2012 Apr; 42(4):402-7. PubMed ID: 22226645
    [TBL] [Abstract][Full Text] [Related]  

  • 40. newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation.
    Zhang Y; Xu J; Zheng W; Zhang C; Qiu X; Chen K; Ruan J
    Comput Biol Chem; 2014 Oct; 52():51-9. PubMed ID: 25240115
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.