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Volumn 8, Issue 8, 2013, Pages

iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking

Author keywords

[No Author keywords available]

Indexed keywords

DRUG; G PROTEIN COUPLED RECEPTOR;

EID: 84883143619     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0072234     Document Type: Article
Times cited : (117)

References (103)
  • 1
    • 0034307486 scopus 로고    scopus 로고
    • G-protein-independent signaling by G-protein-coupled receptors
    • Heuss C, Gerber U, (2000) G-protein-independent signaling by G-protein-coupled receptors. Trends Neurosci 23: 469-475.
    • (2000) Trends Neurosci , vol.23 , pp. 469-475
    • Heuss, C.1    Gerber, U.2
  • 2
    • 0035478746 scopus 로고    scopus 로고
    • Protein-protein interactions at G-protein-coupled receptors
    • Milligan G, White JH, (2001) Protein-protein interactions at G-protein-coupled receptors. Trends Pharmacol Sci 22: 513-518.
    • (2001) Trends Pharmacol Sci , vol.22 , pp. 513-518
    • Milligan, G.1    White, J.H.2
  • 3
    • 0037131192 scopus 로고    scopus 로고
    • Regulation of G protein-coupled receptor signaling by scaffold proteins
    • Hall RA, Lefkowitz RJ, (2002) Regulation of G protein-coupled receptor signaling by scaffold proteins. Circ Res 91: 672-680.
    • (2002) Circ Res , vol.91 , pp. 672-680
    • Hall, R.A.1    Lefkowitz, R.J.2
  • 4
    • 23944438427 scopus 로고    scopus 로고
    • Prediction of G-protein-coupled receptor classes
    • Chou KC, (2005) Prediction of G-protein-coupled receptor classes. Journal of Proteome Research 4: 1413-1418.
    • (2005) Journal of Proteome Research , vol.4 , pp. 1413-1418
    • Chou, K.C.1
  • 5
    • 33749521608 scopus 로고    scopus 로고
    • Latest development in drug discovery on G protein-coupled receptors
    • Lundstrom K, (2006) Latest development in drug discovery on G protein-coupled receptors. Curr Protein Pept Sci 7: 465-470.
    • (2006) Curr Protein Pept Sci , vol.7 , pp. 465-470
    • Lundstrom, K.1
  • 7
    • 0037264608 scopus 로고    scopus 로고
    • A guide to drug discovery: Target selection in drug discovery
    • Knowles J, Gromo G, (2003) A guide to drug discovery: Target selection in drug discovery. Nat Rev Drug Discov 2: 63-69.
    • (2003) Nat Rev Drug Discov , vol.2 , pp. 63-69
    • Knowles, J.1    Gromo, G.2
  • 8
    • 0030599010 scopus 로고    scopus 로고
    • A fast flexible docking method using an incremental construction algorithm
    • Rarey M, Kramer B, Lengauer T, Klebe G, (1996) A fast flexible docking method using an incremental construction algorithm. J Mol Biol 261: 470-489.
    • (1996) J Mol Biol , vol.261 , pp. 470-489
    • Rarey, M.1    Kramer, B.2    Lengauer, T.3    Klebe, G.4
  • 9
    • 0041848237 scopus 로고    scopus 로고
    • Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS
    • (Erratum: ibid., 2003, Vol.310, 675)
    • Chou KC, Wei DQ, Zhong WZ, (2003) Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS. (Erratum: ibid., 2003, Vol.310, 675). Biochem Biophys Res Comm 308: 148-151.
    • (2003) Biochem Biophys Res Comm , vol.308 , pp. 148-151
    • Chou, K.C.1    Wei, D.Q.2    Zhong, W.Z.3
  • 10
    • 27544507236 scopus 로고    scopus 로고
    • A probabilistic model for mining implicit 'chemical compound-gene' relations from literature
    • Zhu S, Okuno Y, Tsujimoto G, Mamitsuka H, (2005) A probabilistic model for mining implicit 'chemical compound-gene' relations from literature. Bioinformatics 21Suppl 2: ii245-251.
    • (2005) Bioinformatics , vol.21
    • Zhu, S.1    Okuno, Y.2    Tsujimoto, G.3    Mamitsuka, H.4
  • 11
    • 46249090791 scopus 로고    scopus 로고
    • Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
    • Yamanishi Y, Araki M, Gutteridge A, Honda W, Kanehisa M, (2008) Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. Bioinformatics 24: i232-240.
    • (2008) Bioinformatics , vol.24
    • Yamanishi, Y.1    Araki, M.2    Gutteridge, A.3    Honda, W.4    Kanehisa, M.5
  • 12
    • 3242792729 scopus 로고    scopus 로고
    • Review: Structural bioinformatics and its impact to biomedical science
    • Chou KC, (2004) Review: Structural bioinformatics and its impact to biomedical science. Current Medicinal Chemistry 11: 2105-2134.
    • (2004) Current Medicinal Chemistry , vol.11 , pp. 2105-2134
    • Chou, K.C.1
  • 13
    • 1642357706 scopus 로고    scopus 로고
    • The many roles of computation in drug discovery
    • Jorgensen WL, (2004) The many roles of computation in drug discovery. Science 303: 1813-1818.
    • (2004) Science , vol.303 , pp. 1813-1818
    • Jorgensen, W.L.1
  • 14
    • 3242813635 scopus 로고    scopus 로고
    • Utility of homology models in the drug discovery process
    • Hillisch A, Pineda LF, Hilgenfeld R, (2004) Utility of homology models in the drug discovery process. Drug Discov Today 9: 659-669.
    • (2004) Drug Discov Today , vol.9 , pp. 659-669
    • Hillisch, A.1    Pineda, L.F.2    Hilgenfeld, R.3
  • 16
    • 38749106195 scopus 로고    scopus 로고
    • Structure and mechanism of the M2 proton channel of influenza A virus
    • Schnell JR, Chou JJ, (2008) Structure and mechanism of the M2 proton channel of influenza A virus. Nature 451: 591-595.
    • (2008) Nature , vol.451 , pp. 591-595
    • Schnell, J.R.1    Chou, J.J.2
  • 17
    • 79961168437 scopus 로고    scopus 로고
    • Mitochondrial uncoupling protein 2 structure determined by NMR molecular fragment searching
    • Berardi MJ, Shih WM, Harrison SC, Chou JJ, (2011) Mitochondrial uncoupling protein 2 structure determined by NMR molecular fragment searching. Nature 476: 109-113.
    • (2011) Nature , vol.476 , pp. 109-113
    • Berardi, M.J.1    Shih, W.M.2    Harrison, S.C.3    Chou, J.J.4
  • 19
    • 77958153191 scopus 로고    scopus 로고
    • The structural basis for intramembrane assembly of an activating immunoreceptor complex
    • Call ME, Wucherpfennig KW, Chou JJ, (2010) The structural basis for intramembrane assembly of an activating immunoreceptor complex. Nature Immunology 11: 1023-1029.
    • (2010) Nature Immunology , vol.11 , pp. 1023-1029
    • Call, M.E.1    Wucherpfennig, K.W.2    Chou, J.J.3
  • 20
    • 33750022623 scopus 로고    scopus 로고
    • The structure of the zetazeta transmembrane dimer reveals features essential for its assembly with the T cell receptor
    • Call ME, Schnell JR, Xu C, Lutz RA, Chou JJ, et al. (2006) The structure of the zetazeta transmembrane dimer reveals features essential for its assembly with the T cell receptor. Cell 127: 355-368.
    • (2006) Cell , vol.127 , pp. 355-368
    • Call, M.E.1    Schnell, J.R.2    Xu, C.3    Lutz, R.A.4    Chou, J.J.5
  • 21
    • 55449138409 scopus 로고    scopus 로고
    • Regulation of T cell receptor activation by dynamic membrane binding of the CD3epsilon cytoplasmic tyrosine-based motif
    • Xu C, Gagnon E, Call ME, Schnell JR, Schwieters CD, et al. (2008) Regulation of T cell receptor activation by dynamic membrane binding of the CD3epsilon cytoplasmic tyrosine-based motif. Cell 135: 702-713.
    • (2008) Cell , vol.135 , pp. 702-713
    • Xu, C.1    Gagnon, E.2    Call, M.E.3    Schnell, J.R.4    Schwieters, C.D.5
  • 22
    • 0036079733 scopus 로고    scopus 로고
    • Prediction of the tertiary structure of the beta-secretase zymogen
    • Chou KC, Howe WJ, (2002) Prediction of the tertiary structure of the beta-secretase zymogen. Biochem Biophys Res Commun 292: 702-708.
    • (2002) Biochem Biophys Res Commun , vol.292 , pp. 702-708
    • Chou, K.C.1    Howe, W.J.2
  • 23
    • 4444261145 scopus 로고    scopus 로고
    • Insights from modelling three-dimensional structures of the human potassium and sodium channels
    • Chou KC, (2004) Insights from modelling three-dimensional structures of the human potassium and sodium channels. Journal of Proteome Research 3: 856-861.
    • (2004) Journal of Proteome Research , vol.3 , pp. 856-861
    • Chou, K.C.1
  • 24
    • 26844555290 scopus 로고    scopus 로고
    • Coupling interaction between thromboxane A2 receptor and alpha-13 subunit of guanine nucleotide-binding protein
    • Chou KC, (2005) Coupling interaction between thromboxane A2 receptor and alpha-13 subunit of guanine nucleotide-binding protein. Journal of Proteome Research 4: 1681-1686.
    • (2005) Journal of Proteome Research , vol.4 , pp. 1681-1686
    • Chou, K.C.1
  • 25
    • 26844508448 scopus 로고    scopus 로고
    • Insights from modeling the 3D structure of DNA-CBF3b complex
    • Chou KC, (2005) Insights from modeling the 3D structure of DNA-CBF3b complex. Journal of Proteome Research 4: 1657-1660.
    • (2005) Journal of Proteome Research , vol.4 , pp. 1657-1660
    • Chou, K.C.1
  • 26
    • 17444427671 scopus 로고    scopus 로고
    • Modeling the tertiary structure of human cathepsin-E
    • Chou KC, (2005) Modeling the tertiary structure of human cathepsin-E. Biochem Biophys Res Commun 331: 56-60.
    • (2005) Biochem Biophys Res Commun , vol.331 , pp. 56-60
    • Chou, K.C.1
  • 28
    • 79951518208 scopus 로고    scopus 로고
    • Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review)
    • Chou KC, (2011) Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review). Journal of Theoretical Biology 273: 236-247.
    • (2011) Journal of Theoretical Biology , vol.273 , pp. 236-247
    • Chou, K.C.1
  • 29
    • 84876053736 scopus 로고    scopus 로고
    • iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
    • Chen W, Feng PM, Lin H, Chou KC, (2013) iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition. Nucleic Acids Research 41: e68 Available: http://nar.oxfordjournals.org/content/41/6/e68.long.
    • (2013) Nucleic Acids Research , vol.41
    • Chen, W.1    Feng, P.M.2    Lin, H.3    Chou, K.C.4
  • 30
    • 84873575437 scopus 로고    scopus 로고
    • iSNO-PseAAC: Predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition PLoS ONE
    • Xu Y, Ding J, Wu LY, Chou KC, (2013) iSNO-PseAAC: Predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition PLoS ONE. 8: e55844.
    • (2013) , vol.8
    • Xu, Y.1    Ding, J.2    Wu, L.Y.3    Chou, K.C.4
  • 31
    • 84868128310 scopus 로고    scopus 로고
    • iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties
    • Chen W, Lin H, Feng PM, Ding C, Zuo YC, et al. (2012) iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties. PLoS ONE 7: e47843.
    • (2012) PLoS ONE , vol.7
    • Chen, W.1    Lin, H.2    Feng, P.M.3    Ding, C.4    Zuo, Y.C.5
  • 32
    • 77950448057 scopus 로고    scopus 로고
    • Predicting drug-target interaction networks based on functional groups and biological features
    • He Z, Zhang J, Shi XH, Hu LL, Kong X, et al. (2010) Predicting drug-target interaction networks based on functional groups and biological features. PLoS ONE 5: e9603.
    • (2010) PLoS ONE , vol.5
    • He, Z.1    Zhang, J.2    Shi, X.H.3    Hu, L.L.4    Kong, X.5
  • 33
    • 0031997218 scopus 로고    scopus 로고
    • Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
    • Finn P, Muggleton S, Page D, Srinivasan A, (1998) Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. Mach Learn 30: 241-270.
    • (1998) Mach Learn , vol.30 , pp. 241-270
    • Finn, P.1    Muggleton, S.2    Page, D.3    Srinivasan, A.4
  • 34
    • 34548168343 scopus 로고    scopus 로고
    • Methods for computer-aided chemical biology. Part 2: Evaluation of compound selectivity using 2D molecular fingerprints
    • Vogt I, Stumpfe D, Ahmed HE, Bajorath J, (2007) Methods for computer-aided chemical biology. Part 2: Evaluation of compound selectivity using 2D molecular fingerprints. Chem Biol Drug Des 70: 195-205.
    • (2007) Chem Biol Drug Des , vol.70 , pp. 195-205
    • Vogt, I.1    Stumpfe, D.2    Ahmed, H.E.3    Bajorath, J.4
  • 35
    • 33847207834 scopus 로고    scopus 로고
    • Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches
    • Eckert H, Bajorath J, (2007) Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches. Drug Discov Today 12: 225-233.
    • (2007) Drug Discov Today , vol.12 , pp. 225-233
    • Eckert, H.1    Bajorath, J.2
  • 36
    • 34247590053 scopus 로고    scopus 로고
    • Comparative study of the physicochemical properties of six clinical low molecular weight gadolinium contrast agents
    • Laurent S, Elst LV, Muller RN, (2006) Comparative study of the physicochemical properties of six clinical low molecular weight gadolinium contrast agents. Contrast Media Mol Imaging 1: 128-137.
    • (2006) Contrast Media Mol Imaging , vol.1 , pp. 128-137
    • Laurent, S.1    Elst, L.V.2    Muller, R.N.3
  • 38
    • 0036015852 scopus 로고    scopus 로고
    • Application of novel atom-type AI topological indices to QSPR studies of alkanes
    • Ren B, (2002) Application of novel atom-type AI topological indices to QSPR studies of alkanes. Comput Chem 26: 357-369.
    • (2002) Comput Chem , vol.26 , pp. 357-369
    • Ren, B.1
  • 42
    • 0032671931 scopus 로고    scopus 로고
    • Unsupervised data base clustering based on daylight's fingerprint and Tanimoto similarity: A fast and automated way to cluster small and large data sets
    • Butina D, (1999) Unsupervised data base clustering based on daylight's fingerprint and Tanimoto similarity: A fast and automated way to cluster small and large data sets. J Chem Inf Comput Sci 39: 747-750.
    • (1999) J Chem Inf Comput Sci , vol.39 , pp. 747-750
    • Butina, D.1
  • 43
    • 34548606295 scopus 로고    scopus 로고
    • Review: Recent progresses in protein subcellular location prediction
    • Chou KC, Shen HB, (2007) Review: Recent progresses in protein subcellular location prediction. Analytical Biochemistry 370: 1-16.
    • (2007) Analytical Biochemistry , vol.370 , pp. 1-16
    • Chou, K.C.1    Shen, H.B.2
  • 44
    • 0005008115 scopus 로고    scopus 로고
    • Evaluating the statistical significance of multiple distinct local alignments
    • Suhai S, editor, New York: Plenum
    • Altschul SF (1997) Evaluating the statistical significance of multiple distinct local alignments. In: Suhai S, editor. Theoretical and Computational Methods in Genome Research. New York: Plenum. 1-14.
    • (1997) Theoretical and Computational Methods in Genome Research , pp. 1-14
    • Altschul, S.F.1
  • 45
    • 0001514262 scopus 로고
    • Statistics of local complexity in amino acid sequences and sequence databases
    • Wootton JC, Federhen S, (1993) Statistics of local complexity in amino acid sequences and sequence databases. Comput Chem 17: 149-163.
    • (1993) Comput Chem , vol.17 , pp. 149-163
    • Wootton, J.C.1    Federhen, S.2
  • 46
    • 0022631926 scopus 로고
    • The folding type of a protein is relevant to the amino acid composition
    • Nakashima H, Nishikawa K, Ooi T, (1986) The folding type of a protein is relevant to the amino acid composition. J Biochem 99: 152-162.
    • (1986) J Biochem , vol.99 , pp. 152-162
    • Nakashima, H.1    Nishikawa, K.2    Ooi, T.3
  • 47
    • 0028121983 scopus 로고
    • Predicting protein folding types by distance functions that make allowances for amino acid interactions
    • Chou KC, Zhang CT, (1994) Predicting protein folding types by distance functions that make allowances for amino acid interactions. Journal of Biological Chemistry 269: 22014-22020.
    • (1994) Journal of Biological Chemistry , vol.269 , pp. 22014-22020
    • Chou, K.C.1    Zhang, C.T.2
  • 48
    • 0035874091 scopus 로고    scopus 로고
    • Prediction of protein cellular attributes using pseudo amino acid composition
    • (Erratum: Ibid, 2001, Vol44, 60)
    • Chou KC, (2001) Prediction of protein cellular attributes using pseudo amino acid composition. PROTEINS: Structure, Function, and Genetics (Erratum: ibid, 2001, Vol44, 60) 43: 246-255.
    • (2001) PROTEINS: Structure, Function, and Genetics , vol.43 , pp. 246-255
    • Chou, K.C.1
  • 49
    • 84883658706 scopus 로고    scopus 로고
    • Theoretical and experimental biology in one -A symposium in honour of Professor Kuo-Chen Chou's 50th anniversary and Professor Richard Giegé's 40th anniversary of their scientific careers
    • Lin SX, Lapointe J, (2013) Theoretical and experimental biology in one -A symposium in honour of Professor Kuo-Chen Chou's 50th anniversary and Professor Richard Giegé's 40th anniversary of their scientific careers. J Biomedical Science and Engineering (JBiSE) 6: 435-442 Available: http://dx.doi.org/10.4236/jbise.2013.64054.
    • (2013) J Biomedical Science and Engineering (JBiSE) , vol.6 , pp. 435-442
    • Lin, S.X.1    Lapointe, J.2
  • 50
    • 84858833657 scopus 로고    scopus 로고
    • Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou's PseAAC
    • Hayat M, Khan A, (2012) Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou's PseAAC. Protein & Peptide Letters 19: 411-421.
    • (2012) Protein & Peptide Letters , vol.19 , pp. 411-421
    • Hayat, M.1    Khan, A.2
  • 51
    • 84876370111 scopus 로고    scopus 로고
    • Predicting Antibacterial Peptides by the Concept of Chou's Pseudo-amino Acid Composition and Machine Learning Methods
    • Khosravian M, Faramarzi FK, Beigi MM, Behbahani M, Mohabatkar H, (2013) Predicting Antibacterial Peptides by the Concept of Chou's Pseudo-amino Acid Composition and Machine Learning Methods. Protein & Peptide Letters 20: 180-186.
    • (2013) Protein & Peptide Letters , vol.20 , pp. 180-186
    • Khosravian, M.1    Faramarzi, F.K.2    Beigi, M.M.3    Behbahani, M.4    Mohabatkar, H.5
  • 52
    • 84873572573 scopus 로고    scopus 로고
    • Prediction of Allergenic Proteins by Means of the Concept of Chou's Pseudo Amino Acid Composition and a Machine Learning Approach
    • Mohabatkar H, Beigi MM, Abdolahi K, Mohsenzadeh S, (2013) Prediction of Allergenic Proteins by Means of the Concept of Chou's Pseudo Amino Acid Composition and a Machine Learning Approach. Medicinal Chemistry 9: 133-137.
    • (2013) Medicinal Chemistry , vol.9 , pp. 133-137
    • Mohabatkar, H.1    Beigi, M.M.2    Abdolahi, K.3    Mohsenzadeh, S.4
  • 53
    • 84855690179 scopus 로고    scopus 로고
    • Prediction of metalloproteinase family based on the concept of Chou's pseudo amino acid composition using a machine learning approach
    • Mohammad Beigi M, Behjati M, Mohabatkar H, (2011) Prediction of metalloproteinase family based on the concept of Chou's pseudo amino acid composition using a machine learning approach. Journal of Structural and Functional Genomics 12: 191-197.
    • (2011) Journal of Structural and Functional Genomics , vol.12 , pp. 191-197
    • Mohammad Beigi, M.1    Behjati, M.2    Mohabatkar, H.3
  • 54
    • 78649324596 scopus 로고    scopus 로고
    • A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction
    • Sahu SS, Panda G, (2010) A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction. Computational Biology and Chemistry 34: 320-327.
    • (2010) Computational Biology and Chemistry , vol.34 , pp. 320-327
    • Sahu, S.S.1    Panda, G.2
  • 55
    • 84856475734 scopus 로고    scopus 로고
    • Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information
    • Nanni L, Lumini A, Gupta D, Garg A, (2012) Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information. IEEE/ACM Trans Comput Biol Bioinform 9: 467-475.
    • (2012) IEEE/ACM Trans Comput Biol Bioinform , vol.9 , pp. 467-475
    • Nanni, L.1    Lumini, A.2    Gupta, D.3    Garg, A.4
  • 56
    • 78650099168 scopus 로고    scopus 로고
    • Supersecondary structure prediction using Chou's pseudo amino acid composition
    • Zou D, He Z, He J, Xia Y, (2011) Supersecondary structure prediction using Chou's pseudo amino acid composition. Journal of Computational Chemistry 32: 271-278.
    • (2011) Journal of Computational Chemistry , vol.32 , pp. 271-278
    • Zou, D.1    He, Z.2    He, J.3    Xia, Y.4
  • 57
    • 84873955239 scopus 로고    scopus 로고
    • GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition
    • Wan S, Mak MW, Kung SY, (2013) GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition. Journal of Theoretical Biology 323: 40-48.
    • (2013) Journal of Theoretical Biology , vol.323 , pp. 40-48
    • Wan, S.1    Mak, M.W.2    Kung, S.Y.3
  • 58
    • 84874109868 scopus 로고    scopus 로고
    • EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou's PseAAC
    • Chang TH, Wu LC, Lee TY, Chen SP, Huang HD, et al. (2013) EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou's PseAAC. Journal of Computer-Aided Molecular Design 27: 91-103.
    • (2013) Journal of Computer-Aided Molecular Design , vol.27 , pp. 91-103
    • Chang, T.H.1    Wu, L.C.2    Lee, T.Y.3    Chen, S.P.4    Huang, H.D.5
  • 59
    • 43149104120 scopus 로고    scopus 로고
    • Using the concept of Chou's pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies
    • Zhang SW, Zhang YL, Yang HF, Zhao CH, Pan Q, (2008) Using the concept of Chou's pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies. Amino Acids 34: 565-572.
    • (2008) Amino Acids , vol.34 , pp. 565-572
    • Zhang, S.W.1    Zhang, Y.L.2    Yang, H.F.3    Zhao, C.H.4    Pan, Q.5
  • 60
    • 78650673337 scopus 로고    scopus 로고
    • Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition
    • Kandaswamy KK, Pugalenthi G, Moller S, Hartmann E, Kalies KU, et al. (2010) Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition. Protein and Peptide Letters 17: 1473-1479.
    • (2010) Protein and Peptide Letters , vol.17 , pp. 1473-1479
    • Kandaswamy, K.K.1    Pugalenthi, G.2    Moller, S.3    Hartmann, E.4    Kalies, K.U.5
  • 61
    • 84870215870 scopus 로고    scopus 로고
    • Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition
    • Chen YK, Li KB, (2013) Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition. Journal of Theoretical Biology 318: 1-12.
    • (2013) Journal of Theoretical Biology , vol.318 , pp. 1-12
    • Chen, Y.K.1    Li, K.B.2
  • 62
    • 84876379510 scopus 로고    scopus 로고
    • A Multilabel Model Based on Chou's Pseudo-Amino Acid Composition for Identifying Membrane Proteins with Both Single and Multiple Functional Types
    • Huang C, Yuan JQ, (2013) A Multilabel Model Based on Chou's Pseudo-Amino Acid Composition for Identifying Membrane Proteins with Both Single and Multiple Functional Types. J Membr Biol 246: 327-334.
    • (2013) J Membr Biol , vol.246 , pp. 327-334
    • Huang, C.1    Yuan, J.Q.2
  • 63
    • 84865373769 scopus 로고    scopus 로고
    • 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 R, Khan A, (2012) Identifying GPCRs and their Types with Chou's Pseudo Amino Acid Composition: An Approach from Multi-scale Energy Representation and Position Specific Scoring Matrix. Protein & Peptide Letters 19: 890-903.
    • (2012) Protein & Peptide Letters , vol.19 , pp. 890-903
    • Zia Ur, R.1    Khan, A.2
  • 64
    • 84868109035 scopus 로고    scopus 로고
    • Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou's PseAAC via discrete wavelet transform
    • Sun XY, Shi SP, Qiu JD, Suo SB, Huang SY, et al. (2012) Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou's PseAAC via discrete wavelet transform. Molecular BioSystems 8: 3178-3184.
    • (2012) Molecular BioSystems , vol.8 , pp. 3178-3184
    • Sun, X.Y.1    Shi, S.P.2    Qiu, J.D.3    Suo, S.B.4    Huang, S.Y.5
  • 65
    • 43149097851 scopus 로고    scopus 로고
    • Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization
    • Nanni L, Lumini A, (2008) Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization. Amino Acids 34: 653-660.
    • (2008) Amino Acids , vol.34 , pp. 653-660
    • Nanni, L.1    Lumini, A.2
  • 66
    • 77649337793 scopus 로고    scopus 로고
    • Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
    • Esmaeili M, Mohabatkar H, Mohsenzadeh S, (2010) Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses. Journal of Theoretical Biology 263: 203-209.
    • (2010) Journal of Theoretical Biology , vol.263 , pp. 203-209
    • Esmaeili, M.1    Mohabatkar, H.2    Mohsenzadeh, S.3
  • 67
    • 77958497871 scopus 로고    scopus 로고
    • Prediction of cyclin proteins using Chou's pseudo amino acid composition
    • Mohabatkar H, (2010) Prediction of cyclin proteins using Chou's pseudo amino acid composition. Protein & Peptide Letters 17: 1207-1214.
    • (2010) Protein & Peptide Letters , vol.17 , pp. 1207-1214
    • Mohabatkar, H.1
  • 68
    • 79955564229 scopus 로고    scopus 로고
    • Prediction of GABA(A) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
    • Mohabatkar H, Mohammad Beigi M, Esmaeili A, (2011) Prediction of GABA(A) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine. Journal of Theoretical Biology 281: 18-23.
    • (2011) Journal of Theoretical Biology , vol.281 , pp. 18-23
    • Mohabatkar, H.1    Mohammad Beigi, M.2    Esmaeili, A.3
  • 69
    • 59649123088 scopus 로고    scopus 로고
    • Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
    • Georgiou DN, Karakasidis TE, Nieto JJ, Torres A, (2009) Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition. Journal of Theoretical Biology 257: 17-26.
    • (2009) Journal of Theoretical Biology , vol.257 , pp. 17-26
    • Georgiou, D.N.1    Karakasidis, T.E.2    Nieto, J.J.3    Torres, A.4
  • 70
    • 84859298511 scopus 로고    scopus 로고
    • Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network
    • Li BQ, Huang T, Liu L, Cai YD, Chou KC, (2012) Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network. PLoS ONE 7: e33393.
    • (2012) PLoS ONE , vol.7
    • Li, B.Q.1    Huang, T.2    Liu, L.3    Cai, Y.D.4    Chou, K.C.5
  • 71
    • 84876592631 scopus 로고    scopus 로고
    • Signal propagation in protein interaction network during colorectal cancer progression
    • Jiang Y, Huang T, Lei C, Gao YF, Cai YD, et al. (2013) Signal propagation in protein interaction network during colorectal cancer progression. BioMed Research International 2013: 287019 Available: http://dx.doi.org/10.1155/2013/287019.
    • (2013) BioMed Research International , vol.2013 , pp. 287019
    • Jiang, Y.1    Huang, T.2    Lei, C.3    Gao, Y.F.4    Cai, Y.D.5
  • 72
    • 84859932176 scopus 로고    scopus 로고
    • PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions
    • Du P, Wang X, Xu C, Gao Y, (2012) PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions. Analytical Biochemistry 425: 117-119.
    • (2012) Analytical Biochemistry , vol.425 , pp. 117-119
    • Du, P.1    Wang, X.2    Xu, C.3    Gao, Y.4
  • 73
    • 84875576158 scopus 로고    scopus 로고
    • propy: a tool to generate various modes of Chou's PseAAC
    • Cao DS, Xu QS, Liang YZ, (2013) propy: a tool to generate various modes of Chou's PseAAC. Bioinformatics 29: 960-962.
    • (2013) Bioinformatics , vol.29 , pp. 960-962
    • Cao, D.S.1    Xu, Q.S.2    Liang, Y.Z.3
  • 74
    • 37549004451 scopus 로고    scopus 로고
    • PseAAC: a flexible web-server for generating various kinds of protein pseudo amino acid composition
    • Shen HB, Chou KC, (2008) PseAAC: a flexible web-server for generating various kinds of protein pseudo amino acid composition. Analytical Biochemistry 373: 386-388.
    • (2008) Analytical Biochemistry , vol.373 , pp. 386-388
    • Shen, H.B.1    Chou, K.C.2
  • 75
    • 35548967965 scopus 로고    scopus 로고
    • Digital coding of amino acids based on hydrophobic index
    • Xiao X, Chou KC, (2007) Digital coding of amino acids based on hydrophobic index. Protein & Peptide Letters 14: 871-875.
    • (2007) Protein & Peptide Letters , vol.14 , pp. 871-875
    • Xiao, X.1    Chou, K.C.2
  • 76
  • 77
    • 84874928986 scopus 로고    scopus 로고
    • iLoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins Molecular BioSystems
    • Lin WZ, Fang JA, Xiao X, Chou KC, (2013) iLoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins Molecular BioSystems. 9: 634-644.
    • (2013) , vol.9 , pp. 634-644
    • Lin, W.Z.1    Fang, J.A.2    Xiao, X.3    Chou, K.C.4
  • 78
    • 80052855771 scopus 로고    scopus 로고
    • iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model
    • Lin WZ, Fang JA, Xiao X, Chou KC, (2011) iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model. PLoS ONE 6: e24756.
    • (2011) PLoS ONE , vol.6
    • Lin, W.Z.1    Fang, J.A.2    Xiao, X.3    Chou, K.C.4
  • 79
    • 84870044593 scopus 로고    scopus 로고
    • Predicting Secretory Proteins of Malaria Parasite by Incorporating Sequence Evolution Information into Pseudo Amino Acid Composition via Grey System Model
    • Lin WZ, Fang JA, Xiao X, Chou KC, (2012) Predicting Secretory Proteins of Malaria Parasite by Incorporating Sequence Evolution Information into Pseudo Amino Acid Composition via Grey System Model. PLoS One 7: e49040.
    • (2012) PLoS One , vol.7
    • Lin, W.Z.1    Fang, J.A.2    Xiao, X.3    Chou, K.C.4
  • 80
    • 70350448693 scopus 로고    scopus 로고
    • GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis
    • Lin WZ, Xiao X, Chou KC, (2009) GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis. Protein Eng Des Sel 22: 699-705.
    • (2009) Protein Eng Des Sel , vol.22 , pp. 699-705
    • Lin, W.Z.1    Xiao, X.2    Chou, K.C.3
  • 81
    • 47549084414 scopus 로고    scopus 로고
    • Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes
    • Xiao X, Lin WZ, Chou KC, (2008) Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes. Journal of Computational Chemistry 29: 2018-2024.
    • (2008) Journal of Computational Chemistry , vol.29 , pp. 2018-2024
    • Xiao, X.1    Lin, W.Z.2    Chou, K.C.3
  • 83
    • 84857411675 scopus 로고    scopus 로고
    • iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix
    • Xiao X, Wang P, Chou KC, (2012) iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix. PLoS ONE 7: e30869.
    • (2012) PLoS ONE , vol.7
    • Xiao, X.1    Wang, P.2    Chou, K.C.3
  • 85
    • 79951606205 scopus 로고    scopus 로고
    • 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, (2011) GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions. Molecular Biosystems 7: 911-919.
    • (2011) Molecular Biosystems , vol.7 , pp. 911-919
    • Xiao, X.1    Wang, P.2    Chou, K.C.3
  • 86
    • 79953308534 scopus 로고    scopus 로고
    • Quat-2L: a web-server for predicting protein quaternary structural attributes
    • Xiao X, Wang P, Chou KC, (2011) Quat-2L: a web-server for predicting protein quaternary structural attributes. Molecular Diversity 15: 149-155.
    • (2011) Molecular Diversity , vol.15 , pp. 149-155
    • Xiao, X.1    Wang, P.2    Chou, K.C.3
  • 87
    • 34548697717 scopus 로고    scopus 로고
    • Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network
    • Ding YS, Zhang TL, Chou KC, (2007) Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. Protein & Peptide Letters 14: 811-815.
    • (2007) Protein & Peptide Letters , vol.14 , pp. 811-815
    • Ding, Y.S.1    Zhang, T.L.2    Chou, K.C.3
  • 88
    • 84855955607 scopus 로고    scopus 로고
    • Combining fuzzy clustering and neural networks to predict protein structural classes
    • Devillers J, editor, London: Academic Press
    • Maggiora GM, Zhang CT, Chou KC, Elrod DW (1996) Combining fuzzy clustering and neural networks to predict protein structural classes. In: Devillers J, editor. in Neural Networks in QSAR and Drug Design. London: Academic Press. 255-279.
    • (1996) Neural Networks in QSAR and Drug Design , pp. 255-279
    • Maggiora, G.M.1    Zhang, C.T.2    Chou, K.C.3    Elrod, D.W.4
  • 89
    • 22144498433 scopus 로고    scopus 로고
    • Using supervised fuzzy clustering to predict protein structural classes
    • Shen HB, Yang J, Liu XJ, Chou KC, (2005) Using supervised fuzzy clustering to predict protein structural classes. Biochem Biophys Res Commun 334: 577-581.
    • (2005) Biochem Biophys Res Commun , vol.334 , pp. 577-581
    • Shen, H.B.1    Yang, J.2    Liu, X.J.3    Chou, K.C.4
  • 90
    • 0028978517 scopus 로고
    • Predicting protein structural classes from amino acid composition: application of fuzzy clustering
    • Zhang CT, Chou KC, Maggiora GM, (1995) Predicting protein structural classes from amino acid composition: application of fuzzy clustering. Protein Engineering 8: 425-435.
    • (1995) Protein Engineering , vol.8 , pp. 425-435
    • Zhang, C.T.1    Chou, K.C.2    Maggiora, G.M.3
  • 91
    • 33748150984 scopus 로고    scopus 로고
    • Fuzzy KNN for predicting membrane protein types from pseudo amino acid composition
    • Shen HB, Yang J, Chou KC, (2006) Fuzzy KNN for predicting membrane protein types from pseudo amino acid composition. Journal of Theoretical Biology 240: 9-13.
    • (2006) Journal of Theoretical Biology , vol.240 , pp. 9-13
    • Shen, H.B.1    Yang, J.2    Chou, K.C.3
  • 92
    • 80051676719 scopus 로고    scopus 로고
    • NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features
    • Wang P, Xiao X, Chou KC, (2011) NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features. PLoS ONE 6: e23505.
    • (2011) PLoS ONE , vol.6
    • Wang, P.1    Xiao, X.2    Chou, K.C.3
  • 94
    • 0002975203 scopus 로고
    • On the generalized distance in statistics
    • Mahalanobis PC, (1936) On the generalized distance in statistics. Proc Natl Inst Sci India 2: 49-55.
    • (1936) Proc Natl Inst Sci India , vol.2 , pp. 49-55
    • Mahalanobis, P.C.1
  • 95
    • 0028929902 scopus 로고
    • Does the folding type of a protein depend on its amino acid composition? FEBS Letters
    • Chou KC, (1995) Does the folding type of a protein depend on its amino acid composition? FEBS Letters. 363: 127-131.
    • (1995) , vol.363 , pp. 127-131
    • Chou, K.C.1
  • 96
    • 0035748859 scopus 로고    scopus 로고
    • Prediction of signal peptides using scaled window
    • Chou KC, (2001) Prediction of signal peptides using scaled window. Peptides 22: 1973-1979.
    • (2001) Peptides , vol.22 , pp. 1973-1979
    • Chou, K.C.1
  • 97
    • 0029051959 scopus 로고
    • A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space
    • Chou KC, (1995) A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space. Proteins: Structure, Function & Genetics 21: 319-344.
    • (1995) Proteins: Structure, Function & Genetics , vol.21 , pp. 319-344
    • Chou, K.C.1
  • 98
    • 78650746655 scopus 로고    scopus 로고
    • Cell-PLoc 2.0: An improved package of web-servers for predicting subcellular localization of proteins in various organisms
    • Chou KC, Shen HB, (2010) Cell-PLoc 2.0: An improved package of web-servers for predicting subcellular localization of proteins in various organisms. Natural Science 2: 1090-1103 Available: http://dx.doi.org/10.4236/ns.2010.210136.
    • (2010) Natural Science , vol.2 , pp. 1090-1103
    • Chou, K.C.1    Shen, H.B.2
  • 99
    • 84877758233 scopus 로고    scopus 로고
    • Some Remarks on Predicting Multi-Label Attributes in Molecular Biosystems
    • Chou KC, (2013) Some Remarks on Predicting Multi-Label Attributes in Molecular Biosystems. Molecular Biosystems 9: 1092-1100.
    • (2013) Molecular Biosystems , vol.9 , pp. 1092-1100
    • Chou, K.C.1
  • 100
    • 77954230951 scopus 로고    scopus 로고
    • Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
    • Yamanishi Y, Kotera M, Kanehisa M, Goto S, (2010) Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework. Bioinformatics 26: i246-254.
    • (2010) Bioinformatics , vol.26
    • Yamanishi, Y.1    Kotera, M.2    Kanehisa, M.3    Goto, S.4
  • 101
    • 0004053611 scopus 로고
    • New York: John Eiley & sons, Inc. 2nd ed. 5-6
    • Voet D, Voet JG (1995) Biochemistry. New York: John Eiley & sons, Inc. 2nd ed. 5-6. 5-6 p.
    • (1995) Biochemistry , pp. 5-6
    • Voet, D.1    Voet, J.G.2
  • 102
    • 0038519321 scopus 로고
    • Contribution of hydrophobic interactions to the stability of the globular conformation of proteins
    • Tanford C, (1962) Contribution of hydrophobic interactions to the stability of the globular conformation of proteins. Journal of American Chemical Society 84: 4240-4274.
    • (1962) Journal of American Chemical Society , vol.84 , pp. 4240-4274
    • Tanford, C.1
  • 103
    • 0000448982 scopus 로고
    • Prediction of protein antigenic determinants from amino acid sequences
    • Hopp TP, Woods KR, (1981) Prediction of protein antigenic determinants from amino acid sequences. Proc Natl Acad Sci USA 78: 3824-3828.
    • (1981) Proc Natl Acad Sci USA , vol.78 , pp. 3824-3828
    • Hopp, T.P.1    Woods, K.R.2


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