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Volumn 33, Issue SUPPL. 2, 2005, Pages

GPCRsclass: A web tool for the classification of amine type of G-protein-coupled receptors

Author keywords

[No Author keywords available]

Indexed keywords

ADRENERGIC RECEPTOR; AMINE; CHOLINERGIC RECEPTOR; DOPAMINE RECEPTOR; G PROTEIN COUPLED RECEPTOR; GLOBULAR PROTEIN; SEROTONIN RECEPTOR; AMINO ACID; DIPEPTIDE; RECEPTOR;

EID: 23144467078     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gki351     Document Type: Article
Times cited : (58)

References (29)
  • 1
    • 0036187297 scopus 로고    scopus 로고
    • Deriving structural and functional insights from a ligand-based hierarchical classification of G protein-coupled receptors
    • Attwood,T.K., Croning,M.D. and Gaulton,A. (2002) Deriving structural and functional insights from a ligand-based hierarchical classification of G protein-coupled receptors. Protein Eng., 15, 7-12.
    • (2002) Protein Eng. , vol.15 , pp. 7-12
    • Attwood, T.K.1    Croning, M.D.2    Gaulton, A.3
  • 3
    • 0037433697 scopus 로고    scopus 로고
    • Automated generation and refinement of protein signatures: Case study with G-protein coupled receptors
    • Sadowski,M.I. and Parish,J.H. (2003) Automated generation and refinement of protein signatures: Case study with G-protein coupled receptors. Bioinformatics, 19, 727-734.
    • (2003) Bioinformatics , vol.19 , pp. 727-734
    • Sadowski, M.I.1    Parish, J.H.2
  • 4
    • 0036166451 scopus 로고    scopus 로고
    • Classifying G-protein coupled receptors with support vector machines
    • Karchin,R., Karplus,K. and Haussler,D. (2002) Classifying G-protein coupled receptors with support vector machines. Bioinformatics, 18, 147-159.
    • (2002) Bioinformatics , vol.18 , pp. 147-159
    • Karchin, R.1    Karplus, K.2    Haussler, D.3
  • 5
    • 0035170508 scopus 로고    scopus 로고
    • Collecting and harvesting biological data: The GPCRDB and NucleaRDB information systems
    • Horn,F., Vriend,G. and Cohen,F.E. (2001) Collecting and harvesting biological data: The GPCRDB and NucleaRDB information systems. Nucleic Acids Res., 29, 346-349.
    • (2001) Nucleic Acids Res. , vol.29 , pp. 346-349
    • Horn, F.1    Vriend, G.2    Cohen, F.E.3
  • 6
    • 0036130770 scopus 로고    scopus 로고
    • Classification of G-protein coupled receptors by alignment-independent extraction of principal chemical properties of primary amino acid sequences
    • Lapinsh,M., Gutcaits,A., Prusis,P., Post,C., Lundstedt,T. and Wikberg,J.E. (2002) Classification of G-protein coupled receptors by alignment-independent extraction of principal chemical properties of primary amino acid sequences. Protein Sci., 11, 795-805.
    • (2002) Protein Sci. , vol.11 , pp. 795-805
    • Lapinsh, M.1    Gutcaits, A.2    Prusis, P.3    Post, C.4    Lundstedt, T.5    Wikberg, J.E.6
  • 7
    • 3242892058 scopus 로고    scopus 로고
    • GPCRpred: An SVM-based method for prediction of families and subfamilies of G-protein coupled receptors
    • Bhasin,M. and Raghava,G.P.S. (2004) GPCRpred: An SVM-based method for prediction of families and subfamilies of G-protein coupled receptors. Nucleic Acids Res., 32, W383-W389.
    • (2004) Nucleic Acids Res. , vol.32
    • Bhasin, M.1    Raghava, G.P.S.2
  • 8
    • 0036762915 scopus 로고    scopus 로고
    • A study on the correlation of G-protein-coupled receptor types with amino acid composition
    • Elrod,D.W. and Chou,K.C. (2002) A study on the correlation of G-protein-coupled receptor types with amino acid composition. Protein Eng., 15, 713-715.
    • (2002) Protein Eng. , vol.15 , pp. 713-715
    • Elrod, D.W.1    Chou, K.C.2
  • 9
    • 1342288007 scopus 로고    scopus 로고
    • SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence
    • Bhasin,M. and Raghava,G.P. (2004) SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence. Bioinformatics, 20, 421-423.
    • (2004) Bioinformatics , vol.20 , pp. 421-423
    • Bhasin, M.1    Raghava, G.P.2
  • 10
    • 0037195776 scopus 로고    scopus 로고
    • Using functional domain composition and support vector machines for prediction of protein subcellular location
    • Chou,K.C. and Cai,Y.D. (2002) Using functional domain composition and support vector machines for prediction of protein subcellular location. J. Biol. Chem., 277, 45765-45769.
    • (2002) J. Biol. Chem. , vol.277 , pp. 45765-45769
    • Chou, K.C.1    Cai, Y.D.2
  • 11
    • 0035672036 scopus 로고    scopus 로고
    • Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect
    • Cai,Y.D., Liu,X.J., Xu,X.B. and Chou,K.C. (2002) Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect. J. Cell. Biochem., 84, 343-348.
    • (2002) J. Cell. Biochem. , vol.84 , pp. 343-348
    • Cai, Y.D.1    Liu, X.J.2    Xu, X.B.3    Chou, K.C.4
  • 13
    • 0038636605 scopus 로고    scopus 로고
    • Support vector machines for predicting membrane protein types by using functional domain composition
    • Cai,Y.D., Zhou,G.P. and Chou,K.C. (2003) Support vector machines for predicting membrane protein types by using functional domain composition. Biophys. J., 84, 3257-3263.
    • (2003) Biophys. J. , vol.84 , pp. 3257-3263
    • Cai, Y.D.1    Zhou, G.P.2    Chou, K.C.3
  • 14
    • 2642547217 scopus 로고    scopus 로고
    • Identify catalytic triads of serine hydrolases by support vector machines
    • Cai,Y.D., Zhou,G.P., Jen,C.H., Lin,S.L. and Chou,K.C. (2004) Identify catalytic triads of serine hydrolases by support vector machines. J. Theor. Biol., 228, 551-557.
    • (2004) J. Theor. Biol. , vol.228 , pp. 551-557
    • Cai, Y.D.1    Zhou, G.P.2    Jen, C.H.3    Lin, S.L.4    Chou, K.C.5
  • 15
    • 8444248846 scopus 로고    scopus 로고
    • Weighted-support vector machines for predicting membrane protein types based on pseudo amino acid composition
    • Wang,M., Yang,J., Liu,G.P., Xu,Z.J. and Chou,K.C. (2004) Weighted-support vector machines for predicting membrane protein types based on pseudo amino acid composition. Protein Eng. Des. Sel., 17, 509-516.
    • (2004) Protein Eng. Des. Sel. , vol.17 , pp. 509-516
    • Wang, M.1    Yang, J.2    Liu, G.P.3    Xu, Z.J.4    Chou, K.C.5
  • 16
    • 1842455240 scopus 로고    scopus 로고
    • Bio-support vector machines for computational proteomics
    • Yang,Z.R. and Chou,K.C. (2004) Bio-support vector machines for computational proteomics. Bioinformatics, 20, 735-741.
    • (2004) Bioinformatics , vol.20 , pp. 735-741
    • Yang, Z.R.1    Chou, K.C.2
  • 17
    • 3242877807 scopus 로고    scopus 로고
    • ELSPred:SVM based prediction of subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST
    • Bhasin,M. and Raghava,G.P.S. (2004) ELSPred:SVM based prediction of subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST. Nucleic Acids Res., 32, W414-W419.
    • (2004) Nucleic Acids Res. , vol.32
    • Bhasin, M.1    Raghava, G.P.S.2
  • 18
    • 0033554601 scopus 로고    scopus 로고
    • A key driving force in determination of protein structural classes
    • Chou,K.C. (1999) A key driving force in determination of protein structural classes. Biochem. Biophys. Res. Commun., 264, 216-224.
    • (1999) Biochem. Biophys. Res. Commun. , vol.264 , pp. 216-224
    • Chou, K.C.1
  • 19
    • 0034843744 scopus 로고    scopus 로고
    • Support vector machine approach for protein subcellular localization prediction
    • Hua,S. and Sun,Z. (2001) Support vector machine approach for protein subcellular localization prediction. Bioinformatics, 17, 721-728.
    • (2001) Bioinformatics , vol.17 , pp. 721-728
    • Hua, S.1    Sun, Z.2
  • 20
    • 2542458612 scopus 로고    scopus 로고
    • Classification of nuclear receptors based on amino acid composition and dipeptide composition
    • Bhasin,M. and Raghava,G.P.S. (2004) Classification of nuclear receptors based on amino acid composition and dipeptide composition. J. Biol. Chem., 279, 23262-23266.
    • (2004) J. Biol. Chem. , vol.279 , pp. 23262-23266
    • Bhasin, M.1    Raghava, G.P.S.2
  • 21
    • 0002714543 scopus 로고    scopus 로고
    • Making large-Scale SVM Learning Practical
    • Scholkopf,B., Burges,C. and Smola,A. (eds.), MIT Press, Cambridge, Massachusetts, London, England
    • Joachims,T. (1999) Making large-Scale SVM Learning Practical. In Scholkopf,B., Burges,C. and Smola,A. (eds.), Advances in Kernel Methods Support Vector Learning. MIT Press, Cambridge, Massachusetts, London, England.
    • (1999) Advances in Kernel Methods Support Vector Learning
    • Joachims, T.1
  • 22
    • 0033406884 scopus 로고    scopus 로고
    • Protein secondary structural content prediction
    • Liu,W. and Chou,K.C. (1999) Protein secondary structural content prediction. Protein Eng., 12, 1041-1050.
    • (1999) Protein Eng. , vol.12 , pp. 1041-1050
    • Liu, W.1    Chou, K.C.2
  • 23
    • 0035053818 scopus 로고    scopus 로고
    • Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition
    • Feng,Z.P. (2001) Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition. Biopolymers, 58, 491-499.
    • (2001) Biopolymers , vol.58 , pp. 491-499
    • Feng, Z.P.1
  • 24
    • 0042885957 scopus 로고    scopus 로고
    • Application of pseudo amino acid composition for predicting protein subcellular location: Stochastic signal processing approach
    • Pan,Y.X., Zhang,Z.Z., Guo,Z.M., Feng,G.Y., Huang,Z.D. and He,L. (2003) Application of pseudo amino acid composition for predicting protein subcellular location: Stochastic signal processing approach. J. Protein Chem., 22, 395-402.
    • (2003) J. Protein Chem. , vol.22 , pp. 395-402
    • Pan, Y.X.1    Zhang, Z.Z.2    Guo, Z.M.3    Feng, G.Y.4    Huang, Z.D.5    He, L.6
  • 25
    • 0032938624 scopus 로고    scopus 로고
    • Prediction of protein subcellular locations using Markov chain models
    • Yuan,Z. (1999) Prediction of protein subcellular locations using Markov chain models. FEBS Lett., 451, 23-26.
    • (1999) FEBS Lett. , vol.451 , pp. 23-26
    • Yuan, Z.1
  • 26
    • 54749084166 scopus 로고    scopus 로고
    • An intriguing controversy over protein structural class prediction
    • Zhou,G.P. (1998) An intriguing controversy over protein structural class prediction. J. Protein Chem., 17, 729-738.
    • (1998) J. Protein Chem. , vol.17 , pp. 729-738
    • Zhou, G.P.1
  • 27
    • 0035400226 scopus 로고    scopus 로고
    • Some insights into protein structural class prediction
    • Zhou,G.P. and Assa-Munt,N. (2001) Some insights into protein structural class prediction. Proteins, 44, 57-59.
    • (2001) Proteins , vol.44 , pp. 57-59
    • Zhou, G.P.1    Assa-Munt, N.2
  • 28
    • 0037233515 scopus 로고    scopus 로고
    • Subcellular location prediction of apoptosis proteins
    • Zhou,G.P. and Doctor,K. (2003) Subcellular location prediction of apoptosis proteins. Proteins, 50, 44-48.
    • (2003) Proteins , vol.50 , pp. 44-48
    • Zhou, G.P.1    Doctor, K.2
  • 29
    • 0029157083 scopus 로고
    • Review: Prediction of protein structural classes
    • Chou,K.C. and Zhang,C.T. (1995) Review: Prediction of protein structural classes. Crit. Rev. Biochem. Mol. Biol., 30, 275-349.
    • (1995) Crit. Rev. Biochem. Mol. Biol. , vol.30 , pp. 275-349
    • Chou, K.C.1    Zhang, C.T.2


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