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Volumn 7, Issue 5, 2010, Pages 370-378

Computationally probing drug-protein interactions via support vector machine

Author keywords

Chemical structure; Drug target interaction; Imbalance problem; Protein sequence; Support vector machine

Indexed keywords

ACETYL COENZYME A ACYLTRANSFERASE; ARACHIDONATE 5 LIPOXYGENASE; CELL NUCLEUS RECEPTOR; CHLORZOXAZONE; CILOMILAST; CYTOCHROME P450; DIFLUNISAL; ENZYME; G PROTEIN COUPLED RECEPTOR; HYDROFLUMETHIAZIDE; ION CHANNEL; LEFLUNOMIDE; METHIONINE ADENOSYLTRANSFERASE; MICONAZOLE; PHOSPHOLIPASE A1; SEVOFLURANE; TERBINAFINE; TRICHLORMETHIAZIDE;

EID: 77953710597     PISSN: 15701808     EISSN: None     Source Type: Journal    
DOI: 10.2174/157018010791163433     Document Type: Article
Times cited : (52)

References (24)
  • 1
    • 36349010717 scopus 로고    scopus 로고
    • Prediction of potential drug targets based on simple sequence properties
    • Li, Q.L.; Lai, L.H. Prediction of potential drug targets based on simple sequence properties. BMC Bioinformatics, 2007, 8, 353-364.
    • (2007) BMC Bioinformatics , vol.8 , pp. 353-364
    • Li, Q.L.1    Lai, L.H.2
  • 2
    • 0038522853 scopus 로고    scopus 로고
    • Multidimensional chemical genetic analysis of diversity-oriented synthesis-derived deacetylase inhibitors using cell-based assays
    • Haggarty, S.J.; Koeller, K.M.; Wong, J.C.; Butcher, R.A.; Schreiber, S.L. Multidimensional chemical genetic analysis of diversity-oriented synthesis-derived deacetylase inhibitors using cell-based assays. Chem. Biol., 2003, 10, 383-396.
    • (2003) Chem. Biol. , vol.10 , pp. 383-396
    • Haggarty, S.J.1    Koeller, K.M.2    Wong, J.C.3    Butcher, R.A.4    Schreiber, S.L.5
  • 3
    • 0037061492 scopus 로고    scopus 로고
    • Dissecting glucose signalling with diversity-oriented synthesis and small-molecule microarrays
    • Kuruvilla, F.G.; Shamji, A.F.; Sternson, S.M.; Hergenrother, P.J.; Schreiber, S.L. Dissecting glucose signalling with diversity-oriented synthesis and small-molecule microarrays. Nature, 2002, 416, 653-657.
    • (2002) Nature , vol.416 , pp. 653-657
    • Kuruvilla, F.G.1    Shamji, A.F.2    Sternson, S.M.3    Hergenrother, P.J.4    Schreiber, S.L.5
  • 4
    • 0034677966 scopus 로고    scopus 로고
    • Drug discovery: A historical perspective
    • Drews, J. Drug discovery: a historical perspective. Science, 2000, 287(5460), 1960-1964.
    • (2000) Science , vol.287 , Issue.5460 , pp. 1960-1964
    • Drews, J.1
  • 7
    • 29144531173 scopus 로고    scopus 로고
    • The druggable genome: An update
    • Russ, A.P.; Lampel, S. The druggable genome: an update. Drug Discov. Today, 2005, 10(23-24), 1607-1610.
    • (2005) Drug Discov. Today , vol.10 , Issue.23-24 , pp. 1607-1610
    • Russ, A.P.1    Lampel, S.2
  • 8
    • 0036084258 scopus 로고    scopus 로고
    • TTD: Therapeutic Target Database
    • Chen, X.; Ji, Z.L.; Chen, Y.Z. TTD: Therapeutic Target Database. Nucleic Acids Res., 2002, 30, 412-415.
    • (2002) Nucleic Acids Res , vol.30 , pp. 412-415
    • Chen, X.1    Ji, Z.L.2    Chen, Y.Z.3
  • 12
    • 11144341956 scopus 로고    scopus 로고
    • Chemical space and biology
    • Dobson, C.M. Chemical space and biology. Nature, 2004, 432, 824-828.
    • (2004) Nature , vol.432 , pp. 824-828
    • Dobson, C.M.1
  • 16
    • 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. Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. Bioinformatics, 2008, 24, i232-i240.
    • (2008) Bioinformatics , vol.24
    • Yamanishi, Y.1    Araki, M.2    Gutteridge, A.3    Honda, W.4    Kanehisa, M.5
  • 17
    • 0141843591 scopus 로고    scopus 로고
    • Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways
    • Hattori, M.; Okuno, Y.; Goto, S.; Kanehisa, M. Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways. J. Am. Chem., 2003, 125, 11853-11865.
    • (2003) J. Am. Chem , vol.125 , pp. 11853-11865
    • Hattori, M.1    Okuno, Y.2    Goto, S.3    Kanehisa, M.4
  • 18
    • 0019887799 scopus 로고
    • Identification of common molecular subsequences
    • Smith, T.F.; Waterman, M. Identification of common molecular subsequences. J. Mol. Biol., 1981, 147, 195-197.
    • (1981) J. Mol. Biol. , vol.147 , pp. 195-197
    • Smith, T.F.1    Waterman, M.2
  • 20
    • 41349091869 scopus 로고    scopus 로고
    • Gene function prediction using labeled and unlabeled data
    • Zhao, X.M.; Wang, Y.; Chen, L.N.; Aihara, K. Gene function prediction using labeled and unlabeled data. BMC Bioinformatics, 2008, 57-71.
    • (2008) BMC Bioinformatics , pp. 57-71
    • Zhao, X.M.1    Wang, Y.2    Chen, L.N.3    Aihara, K.4
  • 22
    • 0001969211 scopus 로고    scopus 로고
    • Use of receiver operating characteristic (roc) analysis to evaluate sequence matching
    • Gribskov, M.; Robinson, N.L. Use of receiver operating characteristic (roc) analysis to evaluate sequence matching. Comput. Chem., 1996, 20, 25-33.
    • (1996) Comput. Chem. , vol.20 , pp. 25-33
    • Gribskov, M.1    Robinson, N.L.2
  • 24
    • 24744435534 scopus 로고    scopus 로고
    • Kernel methods for predicting protein-protein interactions
    • Ben-Hur, A.; Noble, W.S. Kernel methods for predicting protein-protein interactions. Bioinformatics, 2005, 21, i38-i46.
    • (2005) Bioinformatics , vol.21
    • Ben-Hur, A.1    Noble, W.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.