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Journal Abstract Search

184 related items for PubMed ID: 20876934

  • 1. Classification of GPCRs using family specific motifs.
    Cobanoglu MC, Saygin Y, Sezerman U.
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(6):1495-508. PubMed ID: 20876934
    [Abstract] [Full Text] [Related]

  • 2. Reduced alphabet motif methodology for GPCR annotation.
    Gangal R, Kumar KK.
    J Biomol Struct Dyn; 2007 Dec; 25(3):299-310. PubMed ID: 17937491
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  • 5. Characterizing common substructures of ligands for GPCR protein subfamilies.
    Erguner B, Hattori M, Goto S, Kanehisa M.
    Genome Inform; 2010 Dec; 24():31-41. PubMed ID: 22081587
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  • 6. A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization.
    van der Horst E, Peironcely JE, Ijzerman AP, Beukers MW, Lane JR, van Vlijmen HW, Emmerich MT, Okuno Y, Bender A.
    BMC Bioinformatics; 2010 Jun 10; 11():316. PubMed ID: 20537162
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  • 8. GGIP: Structure and sequence-based GPCR-GPCR interaction pair predictor.
    Nemoto W, Yamanishi Y, Limviphuvadh V, Saito A, Toh H.
    Proteins; 2016 Sep 10; 84(9):1224-33. PubMed ID: 27191053
    [Abstract] [Full Text] [Related]

  • 9. Structural models of class a G protein-coupled receptors as a tool for drug design: insights on transmembrane bundle plasticity.
    Deupi X, Dölker N, López-Rodríguez ML, Campillo M, Ballesteros JA, Pardo L.
    Curr Top Med Chem; 2007 Sep 10; 7(10):991-8. PubMed ID: 17508932
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  • 10. 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
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  • 11. 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 Sep 20; 26 Suppl 1():S1829-36. PubMed ID: 26405954
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  • 12. G protein-coupled receptor transmembrane binding pockets and their applications in GPCR research and drug discovery: a survey.
    Kratochwil NA, Gatti-McArthur S, Hoener MC, Lindemann L, Christ AD, Green LG, Guba W, Martin RE, Malherbe P, Porter RH, Slack JP, Winnig M, Dehmlow H, Grether U, Hertel C, Narquizian R, Panousis CG, Kolczewski S, Steward L.
    Curr Top Med Chem; 2011 Sep 20; 11(15):1902-24. PubMed ID: 21470172
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  • 13. Bioinformatics tools for predicting GPCR gene functions.
    Suwa M.
    Adv Exp Med Biol; 2014 Sep 20; 796():205-24. PubMed ID: 24158807
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  • 14. G-protein-coupled receptor prediction using pseudo-amino-acid composition and multiscale energy representation of different physiochemical properties.
    Ur-Rehman Z, Khan A.
    Anal Biochem; 2011 May 15; 412(2):173-82. PubMed ID: 21295004
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  • 15. Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.
    Seo S, Choi J, Ahn SK, Kim KW, Kim J, Choi J, Kim J, Ahn J.
    Comput Math Methods Med; 2018 May 15; 2018():6565241. PubMed ID: 29666662
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  • 16. Proximity based GPCRs prediction in transform domain.
    Khan A, Khan MF, Choi TS.
    Biochem Biophys Res Commun; 2008 Jul 04; 371(3):411-5. PubMed ID: 18439905
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  • 18. Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors.
    König C, Cárdenas MI, Giraldo J, Alquézar R, Vellido A.
    BMC Bioinformatics; 2015 Sep 29; 16():314. PubMed ID: 26415951
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  • 19. Protein classification based on text document classification techniques.
    Cheng BY, Carbonell JG, Klein-Seetharaman J.
    Proteins; 2005 Mar 01; 58(4):955-70. PubMed ID: 15645499
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  • 20. Sequence-derived three-dimensional pharmacophore models for G-protein-coupled receptors and their application in virtual screening.
    Klabunde T, Giegerich C, Evers A.
    J Med Chem; 2009 May 14; 52(9):2923-32. PubMed ID: 19374402
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