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Volumn 14, Issue 3, 2008, Pages 347-375

Comparison of descriptor spaces for chemical compound retrieval and classification

Author keywords

Classification; Descriptor space; Kernel; Retreival; SVM

Indexed keywords

CLASSIFICATION (OF INFORMATION); TOPOLOGY;

EID: 41149084603     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-007-0103-5     Document Type: Article
Times cited : (551)

References (45)
  • 1
    • 41149124238 scopus 로고    scopus 로고
    • The Aids Antiviral Screen
    • http://dtp.nci.nih.gov. The Aids Antiviral Screen
  • 2
    • 41149153153 scopus 로고    scopus 로고
    • Chemical Computing Group
    • http://www.chemcomp.com. Chemical Computing Group
  • 3
    • 41149131009 scopus 로고    scopus 로고
    • Daylight Inc
    • http://www.daylight.com. Daylight Inc
  • 4
    • 41149097389 scopus 로고    scopus 로고
    • MDL Information Systems Inc
    • http://www.mdl.com. MDL Information Systems Inc
  • 5
    • 41149111734 scopus 로고    scopus 로고
    • Scitegic Inc
    • http://www.scitegic.com. Scitegic Inc
  • 6
    • 41149125245 scopus 로고    scopus 로고
    • Tripos Inc
    • http://www.tripos.com. Tripos Inc
  • 7
    • 41149084330 scopus 로고    scopus 로고
    • Tripos Inc
    • http://www.tripos.com. Tripos Inc
  • 8
    • 41149162445 scopus 로고    scopus 로고
    • Mdl drug data report, version 2002.2. MDL Information Systems Inc. San Leandro, CA
    • Mdl drug data report, version 2002.2. MDL Information Systems Inc. San Leandro, CA
  • 9
    • 41149098838 scopus 로고    scopus 로고
    • The PubChem Project
    • http://pubchem.ncbi.nlm.nih.gov. The PubChem Project
  • 10
    • 41149135193 scopus 로고    scopus 로고
    • ChemAxon Inc
    • http://www.chemaxon.com. ChemAxon Inc
  • 11
    • 41149162446 scopus 로고    scopus 로고
    • http://www.predictive-toxicology.org
  • 12
    • 0345961902 scopus 로고    scopus 로고
    • 22nd edn. U.S Food and Drug Administration, Washington DC
    • Food and drug administration orange book, 22nd edn. U.S Food and Drug Administration, Washington DC (2003)
    • (2003) Food and Drug Administration Orange Book
  • 13
    • 0000179727 scopus 로고
    • Carcinogens are mutagens: A simple test system combining liver homogenates for activation and bacteria for detection
    • Ames BN, Durston WE, Yamasaki E and Lee FD (1973). Carcinogens are mutagens: A simple test system combining liver homogenates for activation and bacteria for detection. Proc Natl Acad Sci 70:2281-2285
    • (1973) Proc Natl Acad Sci , vol.70 , pp. 2281-2285
    • Ames, B.N.1    Durston, W.E.2    Yamasaki, E.3    Lee, F.D.4
  • 14
    • 0000131605 scopus 로고    scopus 로고
    • Chemical fragment generation and clustering software
    • Barnard JM and Downs GM (1997). Chemical fragment generation and clustering software. J Chem Inf Comput Sci 37:141-142
    • (1997) J Chem Inf Comput Sci , vol.37 , pp. 141-142
    • Barnard, J.M.1    Downs, G.M.2
  • 16
    • 0342645323 scopus 로고    scopus 로고
    • Use of structure-activity data to compare structure-based clustering methods and descriptors for use in compound selection
    • Brown R and Martin Y (1996). Use of structure-activity data to compare structure-based clustering methods and descriptors for use in compound selection. J Chem Inf Model 36(1):576-584
    • (1996) J Chem Inf Model , vol.36 , Issue.1 , pp. 576-584
    • Brown, R.1    Martin, Y.2
  • 17
    • 24344484786 scopus 로고    scopus 로고
    • Frequent substructure-based approaches for classifying chemical compounds
    • Deshpande M, Kuramochi M, Wale N and Karypis G (2005). Frequent substructure-based approaches for classifying chemical compounds. IEEE TKDE 17(8):1036-1050
    • (2005) IEEE TKDE , vol.17 , Issue.8 , pp. 1036-1050
    • Deshpande, M.1    Kuramochi, M.2    Wale, N.3    Karypis, G.4
  • 20
    • 0001969211 scopus 로고    scopus 로고
    • Use of receiver operating characteristic (roc) analysis to evaluate matching
    • Gribskov M and Robinson N (1996). Use of receiver operating characteristic (roc) analysis to evaluate matching. Comput Chem 20:25-33
    • (1996) Comput Chem , vol.20 , pp. 25-33
    • Gribskov, M.1    Robinson, N.2
  • 21
    • 4043167653 scopus 로고    scopus 로고
    • Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds
    • Helma C, Cramer T, Kramer S and Raedt LD (2004). Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds. J Chem Inf Comp Sci 44(4):1402-1411
    • (2004) J Chem Inf Comp Sci , vol.44 , Issue.4 , pp. 1402-1411
    • Helma, C.1    Cramer, T.2    Kramer, S.3    Raedt, L.D.4
  • 22
    • 10244222365 scopus 로고    scopus 로고
    • Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures
    • Hert J, Willet P, Wilton D, Acklin P, Azzaoui K, Jacoby E and Schuffenhauer A (2004). Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures. Org Biomol Chem 2:3256-3266
    • (2004) Org Biomol Chem , vol.2 , pp. 3256-3266
    • Hert, J.1    Willet, P.2    Wilton, D.3    Acklin, P.4    Azzaoui, K.5    Jacoby, E.6    Schuffenhauer, A.7
  • 23
    • 12244278576 scopus 로고    scopus 로고
    • Cyclic pattern kernels for predictive graph mining
    • Horvath T, Grtner T, Wrobel S (2004) Cyclic pattern kernels for predictive graph mining. SIGKDD. pp 158-167
    • (2004) SIGKDD , pp. 158-167
    • Horvath, T.1    Grtner, T.2    Wrobel, S.3
  • 24
    • 84974733299 scopus 로고    scopus 로고
    • An apriori-based algorithm for mining frequent substructures from graph data
    • Inokuchi A, Washio T, Motoda H (2000) An apriori-based algorithm for mining frequent substructures from graph data. PKDD. pp 13-23
    • (2000) PKDD , pp. 13-23
    • Inokuchi, A.1    Washio, T.2    Motoda, H.3
  • 26
    • 1942516986 scopus 로고    scopus 로고
    • Marginalized kernels between labeled graphs
    • Kashima H, Tsuda K, Inokuchi A (2003) Marginalized kernels between labeled graphs. ICML
    • (2003) ICML
    • Kashima, H.1    Tsuda, K.2    Inokuchi, A.3
  • 29
    • 4544385908 scopus 로고    scopus 로고
    • An efficient algorithm for discovering frequent subgraphs
    • Kuramochi M and Karypis G (2004). An efficient algorithm for discovering frequent subgraphs. IEEE TKDE 16(9):1038-1051
    • (2004) IEEE TKDE , vol.16 , Issue.9 , pp. 1038-1051
    • Kuramochi, M.1    Karypis, G.2
  • 32
    • 0000293407 scopus 로고
    • The generation of unique machine description for chemical structures: A technique developed at chemical abstract services
    • Morgan HL (1965). The generation of unique machine description for chemical structures: A technique developed at chemical abstract services. J Chem Doc 5:107-1133
    • (1965) J Chem Doc , vol.5 , pp. 107-1133
    • Morgan, H.L.1
  • 33
    • 12244294066 scopus 로고    scopus 로고
    • A quickstart in frequent structure mining can make a difference
    • Nijssen S, Kok JN (2004) A quickstart in frequent structure mining can make a difference. SIGKDD
    • (2004) SIGKDD
    • Nijssen, S.1    Kok, J.N.2
  • 34
    • 0036633496 scopus 로고    scopus 로고
    • Virtual screening using grid computing: The screensaver project
    • Richards GW (2002). Virtual screening using grid computing: The screensaver project. Nat Rev: Drug Discov 1:551-554
    • (2002) Nat Rev: Drug Discov , vol.1 , pp. 551-554
    • Richards, G.W.1
  • 35
    • 26944503021 scopus 로고    scopus 로고
    • Using extended-connectivity fingerprints with laplacian-modified bayesian analysis in high-throughput screening
    • Rogers D, Brown R and Hahn M (2005). Using extended-connectivity fingerprints with laplacian-modified bayesian analysis in high-throughput screening. J Biomol Screen 10(7):682-686
    • (2005) J Biomol Screen , vol.10 , Issue.7 , pp. 682-686
    • Rogers, D.1    Brown, R.2    Hahn, M.3
  • 37
    • 26944486424 scopus 로고    scopus 로고
    • Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity
    • Swamidass SJ, Chen J, Bruand J, Phung P, Ralaivola L and Baldi P (2005). Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity. Bioinformatics 21(1):359-368
    • (2005) Bioinformatics , vol.21 , Issue.1 , pp. 359-368
    • Swamidass, S.J.1    Chen, J.2    Bruand, J.3    Phung, P.4    Ralaivola, L.5    Baldi, P.6
  • 40
  • 42
    • 5444268169 scopus 로고    scopus 로고
    • Enhancing the effectiveness of virtual screening by fusing nearest neighbor list: A comparison of similarity coefficients
    • Whittle M, Gillet VJ and Willett P (2004). Enhancing the effectiveness of virtual screening by fusing nearest neighbor list: A comparison of similarity coefficients. J Chem Inf Model 44:1840-1848
    • (2004) J Chem Inf Model , vol.44 , pp. 1840-1848
    • Whittle, M.1    Gillet, V.J.2    Willett, P.3
  • 43
    • 5344244908 scopus 로고    scopus 로고
    • Chemical similarity searching
    • Willett P (1998). Chemical similarity searching. J Chem Inf Model 38(6):983-996
    • (1998) J Chem Inf Model , vol.38 , Issue.6 , pp. 983-996
    • Willett, P.1
  • 44
    • 85021237805 scopus 로고    scopus 로고
    • A quantitative comparison of the subgraph miners mofa, gspan, ffsm, and gaston
    • Wrlein M, Meinl T, Fischer I, Philippsen M (2005) A quantitative comparison of the subgraph miners mofa, gspan, ffsm, and gaston. PKDD
    • (2005) PKDD
    • Wrlein, M.1    Meinl, T.2    Fischer, I.3    Philippsen, M.4
  • 45
    • 78149333073 scopus 로고    scopus 로고
    • Gspan: Graph-based substructure pattern mining
    • Yan X, Han J (2002) gspan: Graph-based substructure pattern mining. ICDM
    • (2002) ICDM
    • Yan, X.1    Han, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.