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Journal Abstract Search

214 related items for PubMed ID: 20696050

  • 1. An improved classification of G-protein-coupled receptors using sequence-derived features.
    Peng ZL, Yang JY, Chen X.
    BMC Bioinformatics; 2010 Aug 09; 11():420. PubMed ID: 20696050
    [Abstract] [Full Text] [Related]

  • 2. GPCR-MPredictor: multi-level prediction of G protein-coupled receptors using genetic ensemble.
    Naveed M, Khan A.
    Amino Acids; 2012 May 09; 42(5):1809-23. PubMed ID: 21505826
    [Abstract] [Full Text] [Related]

  • 3. Classifying G-protein-coupled receptors to the finest subtype level.
    Gao QB, Ye XF, He J.
    Biochem Biophys Res Commun; 2013 Sep 20; 439(2):303-8. PubMed ID: 23973783
    [Abstract] [Full Text] [Related]

  • 4. GPCR-PEnDB: a database of protein sequences and derived features to facilitate prediction and classification of G protein-coupled receptors.
    Begum K, Mohl JE, Ayivor F, Perez EE, Leung MY.
    Database (Oxford); 2020 Nov 20; 2020():. PubMed ID: 33216895
    [Abstract] [Full Text] [Related]

  • 5. Classification of G-protein coupled receptors at four levels.
    Gao QB, Wang ZZ.
    Protein Eng Des Sel; 2006 Nov 20; 19(11):511-6. PubMed ID: 17032692
    [Abstract] [Full Text] [Related]

  • 6. On the hierarchical classification of G protein-coupled receptors.
    Davies MN, Secker A, Freitas AA, Mendao M, Timmis J, Flower DR.
    Bioinformatics; 2007 Dec 01; 23(23):3113-8. PubMed ID: 17956878
    [Abstract] [Full Text] [Related]

  • 7. A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines.
    Nie G, Li Y, Wang F, Wang S, Hu X.
    Biomed Mater Eng; 2015 Dec 01; 26 Suppl 1():S1829-36. PubMed ID: 26405954
    [Abstract] [Full Text] [Related]

  • 8. Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.
    Li Z, Zhou X, Dai Z, Zou X.
    BMC Bioinformatics; 2010 Jun 16; 11():325. PubMed ID: 20550715
    [Abstract] [Full Text] [Related]

  • 9. Identifying GPCRs and their types with Chou's pseudo amino acid composition: an approach from multi-scale energy representation and position specific scoring matrix.
    Zia-Ur-Rehman, Khan A.
    Protein Pept Lett; 2012 Aug 16; 19(8):890-903. PubMed ID: 22316312
    [Abstract] [Full Text] [Related]

  • 10. Bioinformatics tools for predicting GPCR gene functions.
    Suwa M.
    Adv Exp Med Biol; 2014 Aug 16; 796():205-24. PubMed ID: 24158807
    [Abstract] [Full Text] [Related]

  • 11. A novel and efficient technique for identification and classification of GPCRs.
    Gupta R, Mittal A, Singh K.
    IEEE Trans Inf Technol Biomed; 2008 Jul 16; 12(4):541-8. PubMed ID: 18632334
    [Abstract] [Full Text] [Related]

  • 12. Visualizing the GPCR Network: Classification and Evolution.
    Hu GM, Mai TL, Chen CM.
    Sci Rep; 2017 Nov 14; 7(1):15495. PubMed ID: 29138525
    [Abstract] [Full Text] [Related]

  • 13. GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions.
    Xiao X, Wang P, Chou KC.
    Mol Biosyst; 2011 Mar 14; 7(3):911-9. PubMed ID: 21180772
    [Abstract] [Full Text] [Related]

  • 14. A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models.
    Sgourakis NG, Bagos PG, Papasaikas PK, Hamodrakas SJ.
    BMC Bioinformatics; 2005 Apr 22; 6():104. PubMed ID: 15847681
    [Abstract] [Full Text] [Related]

  • 15. Classifying G-protein coupled receptors with bagging classification tree.
    Huang Y, Cai J, Ji L, Li Y.
    Comput Biol Chem; 2004 Oct 22; 28(4):275-80. PubMed ID: 15548454
    [Abstract] [Full Text] [Related]

  • 16. Predicting the coupling specificity of GPCRs to G-proteins by support vector machines.
    Guan CP, Jiang ZR, Zhou YH.
    Genomics Proteomics Bioinformatics; 2005 Nov 22; 3(4):247-51. PubMed ID: 16689694
    [Abstract] [Full Text] [Related]

  • 17. Prediction of GPCRs with pseudo amino acid composition: employing composite features and grey incidence degree based classification.
    Zia-Ur-Rehman, Khan A.
    Protein Pept Lett; 2011 Sep 22; 18(9):872-8. PubMed ID: 21443502
    [Abstract] [Full Text] [Related]

  • 18. GPCR-SSFE: a comprehensive database of G-protein-coupled receptor template predictions and homology models.
    Worth CL, Kreuchwig A, Kleinau G, Krause G.
    BMC Bioinformatics; 2011 May 23; 12():185. PubMed ID: 21605354
    [Abstract] [Full Text] [Related]

  • 19. GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors.
    Bhasin M, Raghava GP.
    Nucleic Acids Res; 2004 Jul 01; 32(Web Server issue):W383-9. PubMed ID: 15215416
    [Abstract] [Full Text] [Related]

  • 20. Identifying GPCR-drug interaction based on wordbook learning from sequences.
    Wang P, Huang X, Qiu W, Xiao X.
    BMC Bioinformatics; 2020 Apr 20; 21(1):150. PubMed ID: 32312232
    [Abstract] [Full Text] [Related]

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