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Volumn 1, Issue 3, 2011, Pages 241-251

Similarity-based data mining in files of two-dimensional chemical structures using fingerprint measures of molecular resemblance

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ANALYSIS; CLUSTER ANALYSIS; COST EFFECTIVENESS; DATA FUSION; DATABASE SYSTEMS; K-MEANS CLUSTERING; MOLECULES; QUERY PROCESSING; STRUCTURE (COMPOSITION);

EID: 84861512073     PISSN: 19424787     EISSN: 19424795     Source Type: Journal    
DOI: 10.1002/widm.26     Document Type: Article
Times cited : (21)

References (106)
  • 1
    • 33845723726 scopus 로고    scopus 로고
    • Chemoinformatics: past, present and future
    • Chen WL. Chemoinformatics: past, present and future. J Chem Inf Model 2006, 46:2230-2255.
    • (2006) J Chem Inf Model , vol.46 , pp. 2230-2255
    • Chen, W.L.1
  • 5
    • 33847207834 scopus 로고    scopus 로고
    • Molecular similarity analysis in virtual screening: foundations, limitation and novel approaches
    • Eckert H, Bajorath J. Molecular similarity analysis in virtual screening: foundations, limitation and novel approaches. Drug Discov Today 2007, 12:225-233.
    • (2007) Drug Discov Today , vol.12 , pp. 225-233
    • Eckert, H.1    Bajorath, J.2
  • 6
    • 34447515227 scopus 로고    scopus 로고
    • Chemical similarity searches. When is complexity justified
    • Sheridan RP. Chemical similarity searches. When is complexity justified? Expert Opin Drug Discov 2007, 2:423-430.
    • (2007) Expert Opin Drug Discov , vol.2 , pp. 423-430
    • Sheridan, R.P.1
  • 7
    • 57849168939 scopus 로고    scopus 로고
    • Similarity methods in chemoinformatics
    • Willett P. Similarity methods in chemoinformatics. Annu Rev Inf Sci Technol 2009, 43:3-71.
    • (2009) Annu Rev Inf Sci Technol , vol.43 , pp. 3-71
    • Willett, P.1
  • 9
    • 78649358317 scopus 로고    scopus 로고
    • How similar are those molecules after all? Use two descriptors and you will have three different answers
    • Bender A. How similar are those molecules after all? Use two descriptors and you will have three different answers. Expert Opin Drug Discov 2010, 5:1141-1151.
    • (2010) Expert Opin Drug Discov , vol.5 , pp. 1141-1151
    • Bender, A.1
  • 10
    • 0003641826 scopus 로고
    • Concepts and Applications of Molecular Similarity
    • New York: John Wiley & Sons
    • Johnson MA, Maggiora GM, eds. Concepts and Applications of Molecular Similarity. New York: John Wiley & Sons; 1990.
    • (1990)
    • Johnson, M.A.1    Maggiora, G.M.2
  • 11
    • 0002466875 scopus 로고
    • A graph theoretical approach to structure-property and structure-activity correlation
    • Wilkins CL, RandicM. A graph theoretical approach to structure-property and structure-activity correlation. Theoret Chim Acta 1980, 58:45-68.
    • (1980) Theoret Chim Acta , vol.58 , pp. 45-68
    • Wilkins, C.L.1    Randic, M.2
  • 12
    • 0022620276 scopus 로고
    • A comparison of some measures of inter-molecular structural similarity
    • Willett P, Winterman V. A comparison of some measures of inter-molecular structural similarity. Quant Struct-Activ Relat 1986, 5:18-25.
    • (1986) Quant Struct-Activ Relat , vol.5 , pp. 18-25
    • Willett, P.1    Winterman, V.2
  • 13
    • 0342645323 scopus 로고    scopus 로고
    • Use of structure-activity data to compare structure-based clustering methods and descriptors for use in compound selection
    • Brown RD, Martin YC. Use of structure-activity data to compare structure-based clustering methods and descriptors for use in compound selection. J Chem Inf Comput Sci 1996, 36:572-584.
    • (1996) J Chem Inf Comput Sci , vol.36 , pp. 572-584
    • Brown, R.D.1    Martin, Y.C.2
  • 14
    • 0037068532 scopus 로고    scopus 로고
    • Do structurally similar molecules have similar biological activities
    • Martin YC, Kofron JL, Traphagen LM. Do structurally similar molecules have similar biological activities? J Med Chem 2002, 45:4350-4358.
    • (2002) J Med Chem , vol.45 , pp. 4350-4358
    • Martin, Y.C.1    Kofron, J.L.2    Traphagen, L.M.3
  • 15
    • 20444404916 scopus 로고    scopus 로고
    • Assessing the reliability of a QSAR model's predictions
    • He L, Jurs PC. Assessing the reliability of a QSAR model's predictions. J Mol Graph Model 2005, 23:503-523.
    • (2005) J Mol Graph Model , vol.23 , pp. 503-523
    • He, L.1    Jurs, P.C.2
  • 16
    • 10044263240 scopus 로고    scopus 로고
    • Similarity to molecules in the training set is a good discriminator for prediction accuracy in QSAR
    • Sheridan RP, Feuston BP, Maiorov VN, Kearsley SK. Similarity to molecules in the training set is a good discriminator for prediction accuracy in QSAR. J Chem Inf Comput Sci 2004, 44:1912-1928.
    • (2004) J Chem Inf Comput Sci , vol.44 , pp. 1912-1928
    • Sheridan, R.P.1    Feuston, B.P.2    Maiorov, V.N.3    Kearsley, S.K.4
  • 17
    • 65249180145 scopus 로고    scopus 로고
    • Comparison of molecular fingerprint methods on the basis of biological profile data
    • Steffen A, Kogej T, Tyrchan C, Engkvist O. Comparison of molecular fingerprint methods on the basis of biological profile data. J Chem Inf Model 2009, 49:338-347.
    • (2009) J Chem Inf Model , vol.49 , pp. 338-347
    • Steffen, A.1    Kogej, T.2    Tyrchan, C.3    Engkvist, O.4
  • 18
    • 0038170311 scopus 로고    scopus 로고
    • Similarity metrics for ligands reflecting the similarity of the target proteins
    • Schuffenhauer A, Floersheim P, Acklin P, Jacoby E. Similarity metrics for ligands reflecting the similarity of the target proteins. J Chem Inf Comput Sci 2003, 43:391-405.
    • (2003) J Chem Inf Comput Sci , vol.43 , pp. 391-405
    • Schuffenhauer, A.1    Floersheim, P.2    Acklin, P.3    Jacoby, E.4
  • 19
    • 33750981540 scopus 로고    scopus 로고
    • Do structurally similar ligands bind in a similar fashion
    • Bostrom J, Hogner A, Schmitt S. Do structurally similar ligands bind in a similar fashion? J Med Chem 2006, 49:6716-6725.
    • (2006) J Med Chem , vol.49 , pp. 6716-6725
    • Bostrom, J.1    Hogner, A.2    Schmitt, S.3
  • 20
    • 33646730764 scopus 로고    scopus 로고
    • Robust ligand-based modeling of the biological targets of known drugs
    • Cleves AE, Jain AN. Robust ligand-based modeling of the biological targets of known drugs. J Med Chem 2006, 49:2921-2938.
    • (2006) J Med Chem , vol.49 , pp. 2921-2938
    • Cleves, A.E.1    Jain, A.N.2
  • 22
    • 0000166488 scopus 로고    scopus 로고
    • Similarity and dissimilarity: a medicinal chemist's view
    • Kubinyi H. Similarity and dissimilarity: a medicinal chemist's view. Perspect Drug Discov Des 1998, 9-11:225-232.
    • (1998) Perspect Drug Discov Des , vol.9-11 , pp. 225-232
    • Kubinyi, H.1
  • 24
    • 0036663707 scopus 로고    scopus 로고
    • Maximum common subgraph isomorphism algorithms for the matching of chemical structures
    • Raymond JW, Willett P. Maximum common subgraph isomorphism algorithms for the matching of chemical structures. J Comput Aided Mol Des 2002, 16:521-533.
    • (2002) J Comput Aided Mol Des , vol.16 , pp. 521-533
    • Raymond, J.W.1    Willett, P.2
  • 25
    • 80155196944 scopus 로고    scopus 로고
    • aximum common subgraph isomorphism algorithms and their applications in molecular science
    • RareyM, Ehrlich H-C. Maximum common subgraph isomorphism algorithms and their applications in molecular science. A review. WIREs Comput Mol Sci 2011, 1:68-79.
    • (2011) A review. WIREs Comput Mol Sci , vol.1 , pp. 68-79
    • Rarey, M.1    Ehrlich H.-C.M2
  • 26
    • 0023401741 scopus 로고
    • Computerstorage and retrieval of generic chemical structures in patents.8. Reduced chemical graphs and their applications in generic chemical-structure retrieval
    • Gillet VJ, Downs GM, Ling A, Lynch MF, Venkataram P, Wood JV, Dethlefsen W. Computerstorage and retrieval of generic chemical structures in patents. 8. Reduced chemical graphs and their applications in generic chemical-structure retrieval. J Chem Inf Comput Sci 1987, 27:126-137.
    • (1987) J Chem Inf Comput Sci , vol.27 , pp. 126-137
    • Gillet, V.J.1    Downs, G.M.2    Ling, A.3    Lynch, M.F.4    Venkataram, P.5    Wood, J.V.6    Dethlefsen, W.7
  • 27
    • 0032149905 scopus 로고    scopus 로고
    • Feature trees: a new molecular similarity measure based on tree matching
    • Rarey M, Dixon JS. Feature trees: a new molecular similarity measure based on tree matching. J Comput Aided Mol Des 1998, 12:471-490.
    • (1998) J Comput Aided Mol Des , vol.12 , pp. 471-490
    • Rarey, M.1    Dixon, J.S.2
  • 28
    • 10244222365 scopus 로고    scopus 로고
    • Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures
    • Hert J, Willett P, Wilton DJ, Acklin P, Azzaoui K, Jacoby E, Schuffenhauer A. Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures. Org Biomol Chem 2004, 2:3256-3266.
    • (2004) Org Biomol Chem , vol.2 , pp. 3256-3266
    • Hert, J.1    Willett, P.2    Wilton, D.J.3    Acklin, P.4    Azzaoui, K.5    Jacoby, E.6    Schuffenhauer, A.7
  • 29
    • 77952780755 scopus 로고    scopus 로고
    • Largescale systematic analysis of 2D fingerprint methods and parameters to improve virtual screening enrichments
    • Sastry M, Lowrie JF, Dixon SL, Sherman W. Largescale systematic analysis of 2D fingerprint methods and parameters to improve virtual screening enrichments. J Chem Inf Model 2010, 50:771-748.
    • (2010) J Chem Inf Model , vol.50 , pp. 771-748
    • Sastry, M.1    Lowrie, J.F.2    Dixon, S.L.3    Sherman, W.4
  • 30
    • 0001731705 scopus 로고
    • HOSE-a novel substructure code
    • Bremser W. HOSE-a novel substructure code. Anal Chim Acta 1978, 103:355-365.
    • (1978) Anal Chim Acta , vol.103 , pp. 355-365
    • Bremser, W.1
  • 31
    • 0020804733 scopus 로고
    • DARC substructure search system: a new approach to chemical information
    • Attias R. DARC substructure search system: a new approach to chemical information. J Chem Inf Comput Sci 1983, 23:102-108.
    • (1983) J Chem Inf Comput Sci , vol.23 , pp. 102-108
    • Attias, R.1
  • 32
    • 0344660346 scopus 로고
    • A screen set generation algorithm
    • Willett P. A screen set generation algorithm. J Chem Inf Comput Sci 1979, 19:159-162.
    • (1979) J Chem Inf Comput Sci , vol.19 , pp. 159-162
    • Willett, P.1
  • 33
    • 1842690601 scopus 로고    scopus 로고
    • Molecular similarity searching using atom environments, information-based feature selection and a naive Bayesian classifier
    • Bender A, Mussa HY, Glen RC, Reiling S. Molecular similarity searching using atom environments, information-based feature selection and a naive Bayesian classifier. J Chem Inf Comput Sci 2004, 44:170-178.
    • (2004) J Chem Inf Comput Sci , vol.44 , pp. 170-178
    • Bender, A.1    Mussa, H.Y.2    Glen, R.C.3    Reiling, S.4
  • 34
    • 77952772341 scopus 로고    scopus 로고
    • Extended-connectivity fingerprints
    • Rogers D, Hahn M. Extended-connectivity fingerprints. J Chem Inf Model 2010, 50:742-754.
    • (2010) J Chem Inf Model , vol.50 , pp. 742-754
    • Rogers, D.1    Hahn, M.2
  • 35
    • 69249211345 scopus 로고    scopus 로고
    • Analysis and use of fragment occurrence data in similarity-based virtual screening
    • Arif SM, Holliday JD, Willett P. Analysis and use of fragment occurrence data in similarity-based virtual screening. J Comput Aided Mol Des 2009, 23:655-668.
    • (2009) J Comput Aided Mol Des , vol.23 , pp. 655-668
    • Arif, S.M.1    Holliday, J.D.2    Willett, P.3
  • 36
    • 77956055372 scopus 로고    scopus 로고
    • Inverse frequency weighting of fragments for similarity-based virtual screening
    • Arif SM, Holliday JD, PW. Inverse frequency weighting of fragments for similarity-based virtual screening. J Chem Inf Model 2010, 50:1340-1349.
    • (2010) J Chem Inf Model , vol.50 , pp. 1340-1349
    • Arif, S.M.1    Holliday, J.D.P.W.2
  • 38
    • 0036249270 scopus 로고    scopus 로고
    • Grouping of coefficients for the calculation of inter-molecular similarity and dissimilarity using 2D fragment bit-strings
    • Holliday JD, Hu C-Y, Willett P. Grouping of coefficients for the calculation of inter-molecular similarity and dissimilarity using 2D fragment bit-strings. Comb Chem High Throughput Screen 2002, 5:155-166.
    • (2002) Comb Chem High Throughput Screen , vol.5 , pp. 155-166
    • Holliday, J.D.1    Hu, C.-Y.2    Willett, P.3
  • 39
    • 37049239596 scopus 로고
    • A computer program for classifying plants
    • Rogers DJ, Tanimoto TT. A computer program for classifying plants. Science 1960, 1960:1115-1118.
    • (1960) Science , vol.1960 , pp. 1115-1118
    • Rogers, D.J.1    Tanimoto, T.T.2
  • 40
    • 0001368373 scopus 로고
    • É tude comparative de la distribution florale dans une portion des Alpes et des Jura
    • Jaccard P. É tude comparative de la distribution florale dans une portion des Alpes et des Jura. Bulletin de la Socíeté Vaudoise des Sciences Naturelles 1901, 37:547-579.
    • (1901) Bulletin de la Socíeté Vaudoise des Sciences Naturelles , vol.37 , pp. 547-579
    • Jaccard, P.1
  • 42
    • 0000241046 scopus 로고
    • Measures of similarity, dissimilarity and distance
    • Edited by Kotz S, Johnson NL, Read CB. Chichester: John Wiley&Sons
    • Gower JC. Measures of similarity, dissimilarity and distance. In. Encyclopaedia of Statistical Sciences. Edited by Kotz S, Johnson NL, Read CB. Chichester: John Wiley&Sons; 1982. 397-405.
    • (1982) Encyclopaedia of Statistical Sciences , pp. 397-405
    • Gower, J.C.1
  • 43
    • 0002728955 scopus 로고
    • Implementation of nearest-neighbour searching in an online chemical structure search system
    • Willett P, Winterman V, Bawden D. Implementation of nearest-neighbour searching in an online chemical structure search system. J Chem Inf Comput Sci 1986, 26:36-41.
    • (1986) J Chem Inf Comput Sci , vol.26 , pp. 36-41
    • Willett, P.1    Winterman, V.2    Bawden, D.3
  • 44
    • 0001232509 scopus 로고
    • On the properties of bit string based measures of chemical similarity
    • Flower DR. On the properties of bit string based measures of chemical similarity. J Chem Inf Comput Sci 1988, 38:379-386.
    • (1988) J Chem Inf Comput Sci , vol.38 , pp. 379-386
    • Flower, D.R.1
  • 45
    • 0036567220 scopus 로고    scopus 로고
    • A modification of the Jaccard-Tanimoto similarity index for diverse selection of chemical compounds using binary strings
    • Fligner MA, Verducci JS, Blower PE. A modification of the Jaccard-Tanimoto similarity index for diverse selection of chemical compounds using binary strings. Technometrics 2002, 44:110-119.
    • (2002) Technometrics , vol.44 , pp. 110-119
    • Fligner, M.A.1    Verducci, J.S.2    Blower, P.E.3
  • 46
    • 33751246188 scopus 로고    scopus 로고
    • Similarity-based virtual screening using 2D fingerprints
    • Willett P. Similarity-based virtual screening using 2D fingerprints. Drug Discov Today 2006, 11:1046-1053.
    • (2006) Drug Discov Today , vol.11 , pp. 1046-1053
    • Willett, P.1
  • 47
    • 33845379303 scopus 로고
    • Atom pairs as molecular-features in structure activity studies-definition and applications
    • Carhart RE, Smith DH, Venkataraghavan R. Atom pairs as molecular-features in structure activity studies-definition and applications. J Chem Inf Comput Sci 1985, 25:64-73.
    • (1985) J Chem Inf Comput Sci , vol.25 , pp. 64-73
    • Carhart, R.E.1    Smith, D.H.2    Venkataraghavan, R.3
  • 48
    • 77649220192 scopus 로고    scopus 로고
    • Current trends in ligand-based virtual screening, molecular representations, data mining methods, new application areas, and performance evaluation
    • Geppert H, Vogt M, Bajorath J. Current trends in ligand-based virtual screening. molecular representations, data mining methods, new application areas, and performance evaluation. J Chem Inf Model 2010, 50:205-216.
    • (2010) J Chem Inf Model , vol.50 , pp. 205-216
    • Geppert, H.1    Vogt, M.2    Bajorath, J.3
  • 49
    • 0036740917 scopus 로고    scopus 로고
    • Why do we need so many chemical similarity search methods? Drug Discov Today
    • Sheridan RP, Kearsley SK. Why do we need so many chemical similarity search methods? Drug Discov Today 2002, 7:903-911.
    • (2002) , vol.7 , pp. 903-911
    • Sheridan, R.P.1    Kearsley, S.K.2
  • 50
    • 33845995827 scopus 로고    scopus 로고
    • Data fusion in ligand-based virtual screening
    • Willett P. Data fusion in ligand-based virtual screening. QSAR Comb Sci 2006, 25:1143-1152.
    • (2006) QSAR Comb Sci , vol.25 , pp. 1143-1152
    • Willett, P.1
  • 51
    • 33749605153 scopus 로고    scopus 로고
    • Reverse fingerprinting, similarity searching by group fusion and fingerprint bit importance
    • Williams C. Reverse fingerprinting, similarity searching by group fusion and fingerprint bit importance. Mol Divers 2006, 10:311-332.
    • (2006) Mol Divers , vol.10 , pp. 311-332
    • Williams, C.1
  • 52
    • 77956952857 scopus 로고    scopus 로고
    • Combination rules for group fusion in similarity-based virtual screening
    • Chen B, Mueller C, Willett P. Combination rules for group fusion in similarity-based virtual screening. Mol Inform 2010, 29:533-541.
    • (2010) Mol Inform , vol.29 , pp. 533-541
    • Chen, B.1    Mueller, C.2    Willett, P.3
  • 53
    • 33845787616 scopus 로고    scopus 로고
    • Analysis of data fusion methods in virtual screening: theoretical model
    • Whittle M, Gillet VJ, Willett P, Loesel J. Analysis of data fusion methods in virtual screening: theoretical model. J Chem Inf Model 2006, 46:2193-2205.
    • (2006) J Chem Inf Model , vol.46 , pp. 2193-2205
    • Whittle, M.1    Gillet, V.J.2    Willett, P.3    Loesel, J.4
  • 54
    • 33750701141 scopus 로고    scopus 로고
    • On scaffolds and hopping in medicinal chemistry
    • Brown N, Jacoby E. On scaffolds and hopping in medicinal chemistry. Mini Rev Med Chem 2006, 6:1217-1229.
    • (2006) Mini Rev Med Chem , vol.6 , pp. 1217-1229
    • Brown, N.1    Jacoby, E.2
  • 55
    • 77955401026 scopus 로고    scopus 로고
    • Scaffold hopping using two-dimensional fingerprints: true potential, black magic, or a hopeless endeavor?Guidelines for virtual screening
    • Vogt M, Stumpfe D, Geppert H, Bajorath J. Scaffold hopping using two-dimensional fingerprints: true potential, black magic, or a hopeless endeavor? Guidelines for virtual screening. J Med Chem 2010, 53:5707-5715.
    • (2010) J Med Chem , vol.53 , pp. 5707-5715
    • Vogt, M.1    Stumpfe, D.2    Geppert, H.3    Bajorath, J.4
  • 57
    • 84956731896 scopus 로고    scopus 로고
    • Virtual Screening for Bioactive Molecules
    • Weinheim: Wiley-VCH
    • Böhm H-J, Schneider G (eds. Virtual Screening for Bioactive Molecules. Weinheim: Wiley-VCH; 2000.
    • (2000)
    • Böhm, H.-J.1    Schneider, G.2
  • 58
    • 3042703047 scopus 로고    scopus 로고
    • Virtual screening methods that complement high-throughput screening
    • Stahura FL, Bajorath J. Virtual screening methods that complement high-throughput screening. Comb Chem High-Throughput Screen 2004, 7:259-269.
    • (2004) Comb Chem High-Throughput Screen , vol.7 , pp. 259-269
    • Stahura, F.L.1    Bajorath, J.2
  • 59
    • 3242888975 scopus 로고    scopus 로고
    • Integrating virtual screening in lead discovery
    • Oprea TI, Matter H. Integrating virtual screening in lead discovery. Curr Opin Chem Biol 2004, 8:349-358.
    • (2004) Curr Opin Chem Biol , vol.8 , pp. 349-358
    • Oprea, T.I.1    Matter, H.2
  • 60
    • 85057214100 scopus 로고    scopus 로고
    • Virtual Screening in Drug Discovery
    • Boca Raton, FL: CRC Press
    • Alvarez J, Shoichet B (eds. Virtual Screening in Drug Discovery. Boca Raton, FL: CRC Press; 2005.
    • (2005)
    • Alvarez, J.1    Shoichet, B.2
  • 61
    • 60849101543 scopus 로고    scopus 로고
    • Similarity-based virtual screening with a Bayesian inference network
    • Abdo A, Salim N. Similarity-based virtual screening with a Bayesian inference network. Chem Med Chem 2009, 4:210-218.
    • (2009) Chem Med Chem , vol.4 , pp. 210-218
    • Abdo, A.1    Salim, N.2
  • 62
    • 45749116266 scopus 로고    scopus 로고
    • Application of belief theory to similarity data fusion for use in analog searching and lead hopping
    • Muchmore SW, Debe DA, Metz JT, Brown SP, Martin YC, Hajduk PJ. Application of belief theory to similarity data fusion for use in analog searching and lead hopping. J Chem Inf Model 2008, 48:941-948.
    • (2008) J Chem Inf Model , vol.48 , pp. 941-948
    • Muchmore, S.W.1    Debe, D.A.2    Metz, J.T.3    Brown, S.P.4    Martin, Y.C.5    Hajduk, P.J.6
  • 64
    • 77956734967 scopus 로고    scopus 로고
    • Machine learning in computational chemistry
    • Goldman BB, Walters WP. Machine learning in computational chemistry. Annu Rep Comput Chem 2006, 2:127-140.
    • (2006) Annu Rep Comput Chem , vol.2 , pp. 127-140
    • Goldman, B.B.1    Walters, W.P.2
  • 66
    • 0004069901 scopus 로고
    • Numerical Taxonomy
    • San Francisco, CA: W. H. Freeman
    • Sneath PHA, Sokal RR. Numerical Taxonomy. San Francisco, CA: W. H. Freeman; 1973.
    • (1973)
    • Sneath, P.H.A.1    Sokal, R.R.2
  • 68
    • 33645265985 scopus 로고    scopus 로고
    • Clustering methods and their uses in computational chemistry
    • Downs GM, Barnard JM. Clustering methods and their uses in computational chemistry. Rev Comput Chem 2002, 18:1-40.
    • (2002) Rev Comput Chem , vol.18 , pp. 1-40
    • Downs, G.M.1    Barnard, J.M.2
  • 69
    • 33746132663 scopus 로고
    • Implementation of non-hierarchic cluster analysismethods in chemical information systems: selection of compounds for biological testing and clustering of substructure search output
    • Willett P, Winterman V, Bawden D. Implementation of non-hierarchic cluster analysismethods in chemical information systems: selection of compounds for biological testing and clustering of substructure search output. J Chem Inf Comput Sci 1986, 26:109-118.
    • (1986) J Chem Inf Comput Sci , vol.26 , pp. 109-118
    • Willett, P.1    Winterman, V.2    Bawden, D.3
  • 70
    • 0343887344 scopus 로고
    • An investigation of clustering as a tool in Quant Structure-Activity Relationships (QSAR)
    • Nouwen J, Hansen B. An investigation of clustering as a tool in Quant Structure-Activity Relationships (QSAR). SAR QSAR Environ Res 1995, 4:1-10.
    • (1995) SAR QSAR Environ Res , vol.4 , pp. 1-10
    • Nouwen, J.1    Hansen, B.2
  • 72
    • 84873140833 scopus 로고
    • Similarity and Clustering in Chemical Information Systems
    • Willett P. Similarity and Clustering in Chemical Information Systems. Letchworth: Research Studies Press; 1987.
    • (1987) Letchworth: Research Studies Press
    • Willett, P.1
  • 73
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward JH. Hierarchical grouping to optimize an objective function. J Am Stat Assoc 1963, 58:236-244.
    • (1963) J Am Stat Assoc , vol.58 , pp. 236-244
    • Ward, J.H.1
  • 74
    • 0015680655 scopus 로고
    • Clustering using a similarity measure based on shared nearest neighbours
    • Jarvis RA, Patrick EA. Clustering using a similarity measure based on shared nearest neighbours. IEEE Trans Comput 1973, C-22:1025-1034.
    • (1973) IEEE Trans Comput , vol.22 C , pp. 1025-1034
    • Jarvis, R.A.1    Patrick, E.A.2
  • 75
    • 0028496956 scopus 로고
    • Similarity searching and clustering of chemical-structure databases using molecular property data
    • Downs GM, Willett P, Fisanick W. Similarity searching and clustering of chemical-structure databases using molecular property data. J Chem Inf Comput Sci 1994, 34:1094-1102.
    • (1994) J Chem Inf Comput Sci , vol.34 , pp. 1094-1102
    • Downs, G.M.1    Willett, P.2    Fisanick, W.3
  • 76
    • 2442439674 scopus 로고    scopus 로고
    • Comparison of Document Clustering Techniques
    • Department Computer Science&Engineering, University of Minnesota
    • Steinbach M, Karypis G, Kumar VA. Comparison of Document Clustering Techniques. Technical report TR 00-034. Department Computer Science&Engineering, University of Minnesota; 2000.
    • (2000) Technical report TR 00-034
    • Steinbach, M.1    Karypis, G.2    Kumar, V.A.3
  • 78
    • 34247198331 scopus 로고    scopus 로고
    • Clustering and rule-based classifications of chemical structures evaluated in the biological activity space
    • Schuffenhauer A, Brown N, Ertl P, Jenkins JL, Selzer P, Hamon J. Clustering and rule-based classifications of chemical structures evaluated in the biological activity space. J Chem Inf Model 2007, 47:325-336.
    • (2007) J Chem Inf Model , vol.47 , pp. 325-336
    • Schuffenhauer, A.1    Brown, N.2    Ertl, P.3    Jenkins, J.L.4    Selzer, P.5    Hamon, J.6
  • 79
    • 33845867934 scopus 로고    scopus 로고
    • A cluster-based strategy for assessing the overlap between large chemical libraries and its application to a recent acquisition
    • Engels MFM, Gibbs AC, Jaeger EP, Verbinnen D, Lobanov VS, Agrafiotis DK. A cluster-based strategy for assessing the overlap between large chemical libraries and its application to a recent acquisition. J Chem Inf Model 2006, 46:2651-2660.
    • (2006) J Chem Inf Model , vol.46 , pp. 2651-2660
    • Engels, M.F.M.1    Gibbs, A.C.2    Jaeger, E.P.3    Verbinnen, D.4    Lobanov, V.S.5    Agrafiotis, D.K.6
  • 80
  • 82
    • 0034355922 scopus 로고    scopus 로고
    • Computer-aided molecular diversity analysis and combinatorial library design
    • Lewis RA, Pickett SD, Clark DE. Computer-aided molecular diversity analysis and combinatorial library design. Rev Comput Chem 2000, 16:1-51.
    • (2000) Rev Comput Chem , vol.16 , pp. 1-51
    • Lewis, R.A.1    Pickett, S.D.2    Clark, D.E.3
  • 83
    • 30844443282 scopus 로고    scopus 로고
    • Molecular similarity and diversity in chemoinformatics: from theory to applications
    • Maldonado AG, Doucet JP, Petitjean M, Fan B-T. Molecular similarity and diversity in chemoinformatics: from theory to applications. Mol Divers 2006, 10:39-79.
    • (2006) Mol Divers , vol.10 , pp. 39-79
    • Maldonado, A.G.1    Doucet, J.P.2    Petitjean, M.3    Fan, B.-T.4
  • 84
    • 0002046725 scopus 로고    scopus 로고
    • Dissimilarity-based compound selection techniques
    • LajinessMS. Dissimilarity-based compound selection techniques. Perspect Drug Discov Des 1997, 7/8:65-84.
    • (1997) Perspect Drug Discov Des , vol.7-8 , pp. 65-84
    • Lajiness, M.S.1
  • 85
    • 0029841885 scopus 로고    scopus 로고
    • Parameter basedmethods for compound selection from chemical databases
    • Hudson BD, Hyde RM, Rahr E, Wood J. Parameter basedmethods for compound selection from chemical databases. Quant Struct Activ Relat 1996, 15:285-289.
    • (1996) Quant Struct Activ Relat , vol.15 , pp. 285-289
    • Hudson, B.D.1    Hyde, R.M.2    Rahr, E.3    Wood, J.4
  • 86
    • 1542633999 scopus 로고    scopus 로고
    • Novel software tools for chemical diversity
    • Pearlman RS, Smith KM. Novel software tools for chemical diversity. Perspect Drug Discov Des 1998, 9-11:339-353.
    • (1998) Perspect Drug Discov Des , vol.9-11 , pp. 339-353
    • Pearlman, R.S.1    Smith, K.M.2
  • 87
    • 0031370668 scopus 로고    scopus 로고
    • Comparison of algorithms for dissimilarity-based compound selection
    • Snarey M, Terrett NK, Willett P, Wilton DJ. Comparison of algorithms for dissimilarity-based compound selection. J Mol Graph Model 1997, 15:372-385.
    • (1997) J Mol Graph Model , vol.15 , pp. 372-385
    • Snarey, M.1    Terrett, N.K.2    Willett, P.3    Wilton, D.J.4
  • 88
    • 0030815955 scopus 로고    scopus 로고
    • Designing combinatorial librarymixtures using a genetic algorithm
    • Brown RD, Martin YC. Designing combinatorial librarymixtures using a genetic algorithm. JMed Chem 1997, 40:2304-2313.
    • (1997) JMed Chem , vol.40 , pp. 2304-2313
    • Brown, R.D.1    Martin, Y.C.2
  • 89
    • 0029271228 scopus 로고
    • Using a genetic algorithm to suggest combinatorial libraries
    • Sheridan RP, Kearsley SK. Using a genetic algorithm to suggest combinatorial libraries. J Chem Inf Comput Sci 1995, 35:310-320.
    • (1995) J Chem Inf Comput Sci , vol.35 , pp. 310-320
    • Sheridan, R.P.1    Kearsley, S.K.2
  • 90
    • 0030252451 scopus 로고    scopus 로고
    • Optimization and visualization of molecular diversity of combinatorial libraries
    • Hassan M, Bielawski JP, Hempel JC, Waldman M. Optimization and visualization of molecular diversity of combinatorial libraries. MolDivers 1996, 2:64-74.
    • (1996) MolDivers , vol.2 , pp. 64-74
    • Hassan, M.1    Bielawski, J.P.2    Hempel, J.C.3    Waldman, M.4
  • 91
    • 0030831365 scopus 로고    scopus 로고
    • New methodology for profiling combinatorial libraries and screening sets
    • Good AC, Lewis RA. New methodology for profiling combinatorial libraries and screening sets. cleaning up the design with HARPick. J Med Chem 1997, 40:3926-3936.
    • (1997) cleaning up the design with HARPick. J Med Chem , vol.40 , pp. 3926-3936
    • Good, A.C.1    Lewis, R.A.2
  • 92
    • 0034463370 scopus 로고    scopus 로고
    • Novel algorithms for the optimization of molecular diversity of combinatorial libraries
    • Waldman M, Li H, Hassan M. Novel algorithms for the optimization of molecular diversity of combinatorial libraries. J Mol Graph Model 2000, 18:412-426.
    • (2000) J Mol Graph Model , vol.18 , pp. 412-426
    • Waldman, M.1    Li, H.2    Hassan, M.3
  • 93
    • 0036589284 scopus 로고    scopus 로고
    • Multiobjective optimization of combinatorial libraries
    • Agrafiotis DK. Multiobjective optimization of combinatorial libraries. J Comput Aided Mol Des 2002, 16:335-356.
    • (2002) J Comput Aided Mol Des , vol.16 , pp. 335-356
    • Agrafiotis, D.K.1
  • 94
    • 0034351502 scopus 로고    scopus 로고
    • Combinatorial library design for diversity, cost efficiency and druglike character
    • Brown RD, Hassan M, Waldman M. Combinatorial library design for diversity, cost efficiency and druglike character. J Mol Graph Model 2000, 18:427-437.
    • (2000) J Mol Graph Model , vol.18 , pp. 427-437
    • Brown, R.D.1    Hassan, M.2    Waldman, M.3
  • 95
    • 3242672754 scopus 로고    scopus 로고
    • Designing combinatorial libraries optimized on multiple objectives
    • Gillet VJ. Designing combinatorial libraries optimized on multiple objectives. Methods Mol Biol 2004, 275:335-354.
    • (2004) Methods Mol Biol , vol.275 , pp. 335-354
    • Gillet, V.J.1
  • 96
    • 0033981358 scopus 로고    scopus 로고
    • Computational methods for the prediction of 'drug-likeness'
    • Clark DE, Pickett SD. Computational methods for the prediction of 'drug-likeness'. Drug Discov Today 2000, 5:49-58.
    • (2000) Drug Discov Today , vol.5 , pp. 49-58
    • Clark, D.E.1    Pickett, S.D.2
  • 97
    • 0034073605 scopus 로고    scopus 로고
    • Property distribution of drug-related chemical databases
    • Oprea TI. Property distribution of drug-related chemical databases. J Comput Aided Mol Des 2000, 14:251-264.
    • (2000) J Comput Aided Mol Des , vol.14 , pp. 251-264
    • Oprea, T.I.1
  • 98
    • 0036022963 scopus 로고    scopus 로고
    • Effectiveness of graph-based and fingerprint-based similarity measures for virtual screening of 2D chemical structure databases
    • Raymond JW, Willett P. Effectiveness of graph-based and fingerprint-based similarity measures for virtual screening of 2D chemical structure databases. J Comput Aided Mol Des 2002, 16:59-71.
    • (2002) J Comput Aided Mol Des , vol.16 , pp. 59-71
    • Raymond, J.W.1    Willett, P.2
  • 99
    • 0037348826 scopus 로고    scopus 로고
    • Comparison of chemical clustering methods using graph-based and fingerprint-based similarity measures
    • Raymond JW, Blankley CJ, Willett P. Comparison of chemical clustering methods using graph-based and fingerprint-based similarity measures. J Mol Graph Model 2003, 21:421-433.
    • (2003) J Mol Graph Model , vol.21 , pp. 421-433
    • Raymond, J.W.1    Blankley, C.J.2    Willett, P.3
  • 100
    • 33751390853 scopus 로고
    • Similarity searching on CAS Registry substances. 1. Global molecular property and generic atom triangle geometric searching.
    • Fisanick W, Cross KP, Rusinko A. Similarity searching on CAS Registry substances. 1. Global molecular property and generic atom triangle geometric searching. J Chem Inf Comput Sci 1992, 32:664-674.
    • (1992) J Chem Inf Comput Sci , vol.32 , pp. 664-674
    • Fisanick, W.1    Cross, K.P.2    Rusinko, A.3
  • 101
    • 0033606988 scopus 로고    scopus 로고
    • New 4-point pharmacophore method for molecular similarity and diversity applications. Overview of the method and applications, including a novel approach to the design of combinatorial libraries containing privileged substructures
    • Mason JS, Morize I, Menard PR, Cheney DL, Hulme C, Labaudiniere RF. New 4-point pharmacophore method for molecular similarity and diversity applications. Overview of the method and applications, including a novel approach to the design of combinatorial libraries containing privileged substructures. J Med Chem 1999, 42:3251-3264.
    • (1999) J Med Chem , vol.42 , pp. 3251-3264
    • Mason, J.S.1    Morize, I.2    Menard, P.R.3    Cheney, D.L.4    Hulme, C.5    Labaudiniere, R.F.6
  • 102
    • 34547260921 scopus 로고    scopus 로고
    • Ultrafast shape recognition to search compound databases for similar molecular shapes
    • Ballester PJ, Richards WG. Ultrafast shape recognition to search compound databases for similar molecular shapes. J Comput Chem 2007, 28:1711-1723.
    • (2007) J Comput Chem , vol.28 , pp. 1711-1723
    • Ballester, P.J.1    Richards, W.G.2
  • 103
    • 33846212271 scopus 로고    scopus 로고
    • Comparison of shape-matching and docking as virtual screening tools
    • Hawkins PDC, Skillman AG, Nicholls A. Comparison of shape-matching and docking as virtual screening tools. J Med Chem 2007, 50:74-82.
    • (2007) J Med Chem , vol.50 , pp. 74-82
    • Hawkins, P.D.C.1    Skillman, A.G.2    Nicholls, A.3
  • 104
    • 0001171748 scopus 로고    scopus 로고
    • MIMIC: a molecular-field matching program. Exploiting applicability of molecular similarity approaches
    • Mestres J, Rohrer DC, Maggiora GM. MIMIC: a molecular-field matching program. Exploiting applicability of molecular similarity approaches. J Comput Chem 1997, 18:934-954.
    • (1997) J Comput Chem , vol.18 , pp. 934-954
    • Mestres, J.1    Rohrer, D.C.2    Maggiora, G.M.3
  • 105
    • 33646227896 scopus 로고    scopus 로고
    • Molecular field extrema as descriptors of biological activity: definition and validation
    • Cheeseright T, Mackey M, Rose S, Vinter A. Molecular field extrema as descriptors of biological activity: definition and validation. J Chem Inf Model 2006, 46:6650-6676.
    • (2006) J Chem Inf Model , vol.46 , pp. 6650-6676
    • Cheeseright, T.1    Mackey, M.2    Rose, S.3    Vinter, A.4


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