GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis.
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[1] Urs Gerber,et al. G-protein-independent signaling by G-protein-coupled receptors , 2000, Trends in Neurosciences.
[2] Qianzhong Li,et al. Using pseudo amino acid composition to predict protein structural class: Approached by incorporating 400 dipeptide components , 2007, J. Comput. Chem..
[3] Yanzhi Guo,et al. Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach. , 2009, Journal of theoretical biology.
[4] K. Chou. Structural bioinformatics and its impact to biomedical science. , 2004, Current medicinal chemistry.
[5] Hansoo Lee,et al. Amiloride potentiates TRAIL-induced tumor cell apoptosis by intracellular acidification-dependent Akt inactivation. , 2005, Biochemical and biophysical research communications.
[6] K Nishikawa,et al. The folding type of a protein is relevant to the amino acid composition. , 1986, Journal of biochemistry.
[7] K. Chou,et al. EzyPred: a top-down approach for predicting enzyme functional classes and subclasses. , 2007, Biochemical and biophysical research communications.
[8] K. Chou. Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.
[9] K. Chou,et al. Recent progress in protein subcellular location prediction. , 2007, Analytical biochemistry.
[10] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[11] References , 1971 .
[12] Kuo-Chen Chou,et al. Predicting enzyme family class in a hybridization space , 2004, Protein science : a publication of the Protein Society.
[13] Kuo-Chen Chou,et al. Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types. , 2005, Biochemical and biophysical research communications.
[14] Sukanta Mondal,et al. Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification. , 2006, Journal of theoretical biology.
[15] Linda B. Buck,et al. A family of candidate taste receptors in human and mouse , 2000, Nature.
[16] H D Dakin,et al. On Amino-acids. , 1918, The Biochemical journal.
[17] K. Chou,et al. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms , 2008, Nature Protocols.
[18] Guo-Ping Zhou,et al. An Intriguing Controversy over Protein Structural Class Prediction , 1998, Journal of protein chemistry.
[19] Bhaskar D. Kulkarni,et al. Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM , 2007, Pattern Recognit. Lett..
[20] Zheng-Zhi Wang,et al. Classification of G-protein coupled receptors at four levels. , 2006, Protein engineering, design & selection : PEDS.
[21] K. Chou,et al. Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image. , 2008, Journal of theoretical biology.
[22] 김삼묘,et al. “Bioinformatics” 특집을 내면서 , 2000 .
[23] Lourdes Santana,et al. Medicinal chemistry and bioinformatics--current trends in drugs discovery with networks topological indices. , 2007, Current topics in medicinal chemistry.
[24] N. L. Johnson,et al. Multivariate Analysis , 1958, Nature.
[25] Haruhiko Yamamoto,et al. Length analyses of Drosophila odorant receptors. , 2003, Journal of theoretical biology.
[26] G P Zhou,et al. Some insights into protein structural class prediction , 2001, Proteins.
[27] Guo-Ping Zhou,et al. Subcellular location prediction of apoptosis proteins , 2002, Proteins.
[28] Jianding Qiu,et al. Prediction of G-protein-coupled receptor classes based on the concept of Chou's pseudo amino acid composition: an approach from discrete wavelet transform. , 2009, Analytical biochemistry.
[29] Hao Lin,et al. Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition. , 2009, Protein and peptide letters.
[30] Xiaoyong Zou,et al. Using pseudo-amino acid composition and support vector machine to predict protein structural class. , 2006, Journal of theoretical biology.
[31] Hugh M Robertson,et al. G Protein-Coupled Receptors in Anopheles gambiae , 2002, Science.
[32] Guangya Zhang,et al. Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chou's amphiphilic pseudo-amino acid composition. , 2008, Journal of theoretical biology.
[33] Yanda Li,et al. Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence , 2006, BMC Bioinformatics.
[34] Xiaoying Jiang,et al. Using the concept of Chou's pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy. , 2008, Protein and peptide letters.
[35] James J. Chou,et al. The Structure of the ζζ Transmembrane Dimer Reveals Features Essential for Its Assembly with the T Cell Receptor , 2006, Cell.
[36] F. Prado-Prado,et al. Predicting antimicrobial drugs and targets with the MARCH-INSIDE approach. , 2008, Current topics in medicinal chemistry.
[37] K. R. Woods,et al. Prediction of protein antigenic determinants from amino acid sequences. , 1981, Proceedings of the National Academy of Sciences of the United States of America.
[38] Kuo-Chen Chou,et al. Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition. , 2005, Journal of theoretical biology.
[39] J. Nieto,et al. Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition. , 2009, Journal of theoretical biology.
[40] Kuo-Chen Chou,et al. Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition. , 2006, Journal of theoretical biology.
[41] Peixiang Cai,et al. Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network. , 2006, Analytical biochemistry.
[42] C. Kuo-chen,et al. FoldRate: A Web-Server for Predicting Protein Folding Rates from Primary Sequence , 2009 .
[43] Kuo-Chen Chou,et al. Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition. , 2006, Journal of theoretical biology.
[44] Kuo-Chen Chou,et al. GPCR‐CA: A cellular automaton image approach for predicting G‐protein–coupled receptor functional classes , 2009, J. Comput. Chem..
[45] Z. Huang,et al. Using complexity measure factor to predict protein subcellular location , 2005, Amino Acids.
[46] K. Chou,et al. Predicting protein fold pattern with functional domain and sequential evolution information. , 2009, Journal of theoretical biology.
[47] M. Wang,et al. Low-frequency Fourier spectrum for predicting membrane protein types. , 2005, Biochemical and biophysical research communications.
[48] R. Rosenfeld. Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.
[49] Ying-Li Chen,et al. Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition. , 2007, Journal of theoretical biology.
[50] Fengmin Li,et al. Predicting protein subcellular location using Chou's pseudo amino acid composition and improved hybrid approach. , 2008, Protein and peptide letters.
[51] James M. Keller,et al. A fuzzy K-nearest neighbor algorithm , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[52] K. Chou,et al. PseAAC: a flexible web server for generating various kinds of protein pseudo amino acid composition. , 2008, Analytical biochemistry.
[53] R. Lefkowitz,et al. Regulation of G protein-coupled receptor signaling by scaffold proteins. , 2002, Circulation research.
[54] Kuo-Chen Chou,et al. Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern. , 2008, Journal of theoretical biology.
[55] Xiaoyong Zou,et al. Prediction of protein secondary structure content by using the concept of Chou's pseudo amino acid composition and support vector machine. , 2009, Protein and peptide letters.
[56] K. Chou,et al. Predicting the quaternary structure attribute of a protein by hybridizing functional domain composition and pseudo amino acid composition , 2009 .
[57] Kuo-Chen Chou,et al. Prediction of G-protein-coupled receptor classes. , 2005, Journal of proteome research.
[58] K. Chou,et al. Bioinformatical analysis of G-protein-coupled receptors. , 2002, Journal of proteome research.
[59] Z. Wen,et al. Delaunay triangulation with partial least squares projection to latent structures: a model for G-protein coupled receptors classification and fast structure recognition , 2007, Amino Acids.
[60] D. Pfeffermann,et al. Small area estimation , 2011 .
[61] Kuo-Chen Chou,et al. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes , 2005, Bioinform..
[62] Shawn M. Douglas,et al. DNA-nanotube-induced alignment of membrane proteins for NMR structure determination , 2007, Proceedings of the National Academy of Sciences.
[63] Deng Ju-Long,et al. Control problems of grey systems , 1982 .
[64] Zhanchao Li,et al. Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes. , 2007, Journal of theoretical biology.
[65] Kuo-Chen Chou,et al. Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides. , 2007, Biochemical and biophysical research communications.
[66] Hao Lin,et al. Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition , 2009, Acta biotheoretica.
[67] K. Chou,et al. Predicting protein quaternary structure by pseudo amino acid composition , 2003, Proteins.
[68] Guangya Zhang,et al. Predicting lipase types by improved Chou's pseudo-amino acid composition. , 2008, Protein and peptide letters.
[69] Kuo-Chen Chou,et al. Coupling interaction between thromboxane A2 receptor and alpha-13 subunit of guanine nucleotide-binding protein. , 2005, Journal of proteome research.
[70] Kuo-Chen Chou,et al. Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor , 2006, J. Comput. Chem..
[71] Kuo-Chen Chou,et al. Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition. , 2005, Biochemical and biophysical research communications.
[72] J. Chou,et al. The structure of phospholamban pentamer reveals a channel-like architecture in membranes. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[73] Gajendra P. S. Raghava,et al. GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors , 2005, Nucleic Acids Res..
[74] Yu-Dong Cai,et al. Predicting protease types by hybridizing gene ontology and pseudo amino acid composition , 2006, Proteins.
[75] Kuo-Chen Chou,et al. MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. , 2007, Biochemical and biophysical research communications.
[76] K. Chou,et al. Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. , 2007, Journal of proteome research.
[77] Lin He,et al. Application of Pseudo Amino Acid Composition for Predicting Protein Subcellular Location: Stochastic Signal Processing Approach , 2003, Journal of protein chemistry.
[78] Kuo-Chen Chou,et al. Ensemble classifier for protein fold pattern recognition , 2006, Bioinform..
[79] Hao Lin,et al. Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition. , 2008, Protein and peptide letters.
[80] K. Chou,et al. Predicting protein-protein interactions from sequences in a hybridization space. , 2006, Journal of proteome research.
[81] Thierry Denoeux,et al. A k-nearest neighbor classification rule based on Dempster-Shafer theory , 1995, IEEE Trans. Syst. Man Cybern..
[82] Yongsheng Ding,et al. Using Chou's pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier , 2008, Pattern Recognit. Lett..
[83] J. Chou,et al. Structure and mechanism of the M2 proton channel of influenza A virus , 2008, Nature.
[84] Kuo-Chen Chou,et al. Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes , 2008, J. Comput. Chem..
[85] Jiangning Song,et al. Prediction of protein folding rates from primary sequence by fusing multiple sequential features , 2009 .
[86] B. Garcia,et al. Proteomics , 2011, Journal of biomedicine & biotechnology.
[87] K. Chou,et al. Signal-3L: A 3-layer approach for predicting signal peptides. , 2007, Biochemical and biophysical research communications.
[88] Kuo-Chen Chou,et al. Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-Nearest Neighbor classifiers. , 2006, Journal of proteome research.
[89] Ying-Li Chen,et al. Prediction of the subcellular location of apoptosis proteins. , 2007, Journal of theoretical biology.
[90] Lourdes Santana,et al. Proteomics, networks and connectivity indices , 2008, Proteomics.
[91] C. Tanford. Contribution of Hydrophobic Interactions to the Stability of the Globular Conformation of Proteins , 1962 .
[92] K. Chou,et al. Protein subcellular location prediction. , 1999, Protein engineering.
[93] Hao Lin. The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition. , 2008, Journal of theoretical biology.
[94] G. Milligan,et al. Protein-protein interactions at G-protein-coupled receptors. , 2001, Trends in pharmacological sciences.
[95] Hao Lin,et al. Predicting conotoxin superfamily and family by using pseudo amino acid composition and modified Mahalanobis discriminant. , 2007, Biochemical and biophysical research communications.
[96] K. Chou,et al. Prediction of protein structural classes. , 1995, Critical reviews in biochemistry and molecular biology.