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Journal Abstract Search

181 related items for PubMed ID: 16689694

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

  • 2. Predicting G-protein coupled receptors-G-protein coupling specificity based on autocross-covariance transform.
    Guo Y, Li M, Lu M, Wen Z, Huang Z.
    Proteins; 2006 Oct 01; 65(1):55-60. PubMed ID: 16865706
    [Abstract] [Full Text] [Related]

  • 3. Classification of G proteins and prediction of GPCRs-G proteins coupling specificity using continuous wavelet transform and information theory.
    Li Z, Zhou X, Dai Z, Zou X.
    Amino Acids; 2012 Aug 01; 43(2):793-804. PubMed ID: 22086210
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  • 6. Identifying G-protein coupled receptors using weighted Levenshtein distance and the nearest neighbor method.
    Xu JH.
    Genomics Proteomics Bioinformatics; 2005 Nov 01; 3(4):252-7. PubMed ID: 16689695
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  • 7. 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
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  • 9. PRECOG: PREdicting COupling probabilities of G-protein coupled receptors.
    Singh G, Inoue A, Gutkind JS, Russell RB, Raimondi F.
    Nucleic Acids Res; 2019 Jul 02; 47(W1):W395-W401. PubMed ID: 31143927
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  • 10. A naive Bayes model to predict coupling between seven transmembrane domain receptors and G-proteins.
    Cao J, Panetta R, Yue S, Steyaert A, Young-Bellido M, Ahmad S.
    Bioinformatics; 2003 Jan 22; 19(2):234-40. PubMed ID: 12538244
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  • 11. GPCRs, G-proteins, effectors and their interactions: human-gpDB, a database employing visualization tools and data integration techniques.
    Satagopam VP, Theodoropoulou MC, Stampolakis CK, Pavlopoulos GA, Papandreou NC, Bagos PG, Schneider R, Hamodrakas SJ.
    Database (Oxford); 2010 Aug 05; 2010():baq019. PubMed ID: 20689020
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  • 13. 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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  • 14. 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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  • 15. Prediction of GPCR-G protein coupling specificity using features of sequences and biological functions.
    Ono T, Hishigaki H.
    Genomics Proteomics Bioinformatics; 2006 Nov 20; 4(4):238-44. PubMed ID: 17531799
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  • 16. 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
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  • 17. Optimizing amino acid groupings for GPCR classification.
    Davies MN, Secker A, Freitas AA, Clark E, Timmis J, Flower DR.
    Bioinformatics; 2008 Sep 15; 24(18):1980-6. PubMed ID: 18676973
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  • 18. 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
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  • 19. [Prediction of G-protein-coupled receptor classes with pseudo amino acid composition].
    Gu Q, Ding Y, Zhang T, Shen Y.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Jun 01; 27(3):500-4. PubMed ID: 20649006
    [Abstract] [Full Text] [Related]

  • 20. A synthetic method to assay adhesion-family G-protein coupled receptors. Determination of the G-protein coupling profile of ADGRG6(GPR126).
    Lizano E, Hayes JL, Willard FS.
    Biochem Biophys Res Commun; 2021 Jan 01; 534():317-322. PubMed ID: 33248691
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