메뉴 건너뛰기




Volumn 44, Issue 3, 2004, Pages 894-902

Clustering files of chemical structures using the fuzzy k-means clustering method

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DATA PROCESSING; FUZZY SETS; ITERATIVE METHODS; MOLECULAR DYNAMICS; PESTICIDES; SUBSTITUTION REACTIONS;

EID: 2942746755     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci0342674     Document Type: Article
Times cited : (42)

References (42)
  • 2
    • 33746132663 scopus 로고
    • Implementation of non-hierarchic cluster analysis methods 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 Analysis Methods 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
  • 3
    • 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. D.; Martin, Y. C. 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
  • 6
    • 33645265985 scopus 로고    scopus 로고
    • Clustering methods and their uses in computational chemistry
    • Downs, G. M.; Barnard, J. M. 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
  • 10
    • 5244364312 scopus 로고    scopus 로고
    • The information content of 2D and 3D structural descriptors relevant to ligand-receptor binding
    • Brown, R. D.; Martin, Y. C. The Information Content of 2D and 3D Structural Descriptors Relevant to Ligand-Receptor Binding. J. Chem. Inf. Comput. Sci. 1997, 37, 1-9.
    • (1997) J. Chem. Inf. Comput. Sci. , vol.37 , pp. 1-9
    • Brown, R.D.1    Martin, Y.C.2
  • 11
    • 0021373652 scopus 로고
    • Evaluation of relocation clustering algorithms for the automatic classification of chemical structures
    • Willett, P. An Evaluation of Relocation Clustering Algorithms for the Automatic Classification of Chemical Structures. J. Chem. Inf. Comput. Sci. 1984, 24, 29-33.
    • (1984) J. Chem. Inf. Comput. Sci. , vol.24 , pp. 29-33
    • An, W.P.1
  • 15
    • 0028978517 scopus 로고
    • Predicting protein structural classes from amino acid composition: Applications of fuzzy clustering
    • Zhang, C.; Chou, K.; Maggiora, G. M. Predicting Protein Structural Classes from Amino Acid Composition: Applications of Fuzzy Clustering. Prot. Eng. 1995, 8, 425-435.
    • (1995) Prot. Eng. , vol.8 , pp. 425-435
    • Zhang, C.1    Chou, K.2    Maggiora, G.M.3
  • 16
    • 0007663495 scopus 로고    scopus 로고
    • Fuzzy clustering of existing chemicals according to their ecotoxicological properties
    • Friederichs, M.; Franzle, O.; Salski, A. Fuzzy Clustering of Existing Chemicals According to their Ecotoxicological properties. Ecol. Model. 1996, 85, 27-40.
    • (1996) Ecol. Model. , vol.85 , pp. 27-40
    • Friederichs, M.1    Franzle, O.2    Salski, A.3
  • 17
    • 0002335691 scopus 로고    scopus 로고
    • A fuzzy cross-classification of the chemical elements, based on Their Physical, Chemical, and Structural Features
    • Sarbu, C.; Horowitz, O.; Pop, H. E. A Fuzzy Cross-Classification of the Chemical Elements, Based on Their Physical, Chemical, and Structural Features. J. Chem. Inf. Comput. Sci. 1996, 36, 1098-1108.
    • (1996) J. Chem. Inf. Comput. Sci. , vol.36 , pp. 1098-1108
    • Sarbu, C.1    Horowitz, O.2    Pop, H.E.3
  • 19
    • 0001549835 scopus 로고    scopus 로고
    • The fuzzy hierarchical cross-clustering algorithm. Improvements and comparative study
    • Pop, H. F.; Sarbu, C. The Fuzzy Hierarchical Cross-Clustering Algorithm. Improvements and Comparative Study. J. Chem. Inf. Comput. Sci. 1997, 37, 510-516.
    • (1997) J. Chem. Inf. Comput. Sci. , vol.37 , pp. 510-516
    • Pop, H.F.1    Sarbu, C.2
  • 20
    • 0032517766 scopus 로고    scopus 로고
    • Fuzzy clustering of 627 alcohols, guided by a strategy for cluster analysis of chemical compounds for combinatorial chemistry
    • Linusson, A.; Wold, S.; Norden, B. Fuzzy Clustering of 627 Alcohols, Guided by a Strategy for Cluster Analysis of Chemical Compounds for Combinatorial Chemistry. Chemomet. Intell. Lab. Syst. 1998, 44, 213-227.
    • (1998) Chemomet. Intell. Lab. Syst. , vol.44 , pp. 213-227
    • Linusson, A.1    Wold, S.2    Norden, B.3
  • 21
    • 0036864164 scopus 로고    scopus 로고
    • On the optimal partitioning of data with K-means, growing K-means, neural gas and growing neural gas
    • Daszykowski, M.; Walczak, B.; Massart, D. L. On the Optimal Partitioning of Data with K-Means, Growing K-Means, Neural Gas and Growing Neural Gas. J. Chem. Inf. Comput. Sci. 2002, 42, 1378-1389.
    • (2002) J. Chem. Inf. Comput. Sci. , vol.42 , pp. 1378-1389
    • Daszykowski, M.1    Walczak, B.2    Massart, D.L.3
  • 22
    • 0036827086 scopus 로고    scopus 로고
    • Classification of some active HIV-1 protease inhibitors and their inactive analogues using some uncorrelated three-dimensional molecular descriptors and a fuzzy C-means algorithm
    • Lin, T.-H.; Wang, G.-M.; Hsu, Y.-H. Classification of some Active HIV-1 Protease Inhibitors and Their Inactive Analogues Using some Uncorrelated Three-Dimensional Molecular Descriptors and a Fuzzy C-Means Algorithm. J. Chem. Inf. Comput. Sci. 2002, 42, 1490-1504.
    • (2002) J. Chem. Inf. Comput. Sci. , vol.42 , pp. 1490-1504
    • Lin, T.-H.1    Wang, G.-M.2    Hsu, Y.-H.3
  • 23
    • 0037498095 scopus 로고    scopus 로고
    • Fuzzy clustering as a means of selecting representative conformers and molecular alignments
    • Feher, M.; Schmidt, J. M. Fuzzy Clustering as a Means of Selecting Representative Conformers and Molecular Alignments. J. Chem. Inf. Comput. Sci. 2003, 43, 810-818.
    • (2003) J. Chem. Inf. Comput. Sci. , vol.43 , pp. 810-818
    • Feher, M.1    Schmidt, J.M.2
  • 25
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh, L. A. Fuzzy Sets. Inf. Control 1965, 8, 338-353.
    • (1965) Inf. Control , vol.8 , pp. 338-353
    • Zadeh, L.A.1
  • 28
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn, J. C. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. J. Cybern. 1973, 3, 32-57.
    • (1973) J. Cybern. , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 29
    • 0020152832 scopus 로고
    • Cluster validity for the fuzzy c-means clustering algorithm
    • Windham, M. P. Cluster Validity for the Fuzzy c-Means Clustering Algorithm. IEEE Trans. Patt. Anal. Mach. Intell. 1982, PAMI-4, 357-363.
    • (1982) IEEE Trans. Patt. Anal. Mach. Intell. , vol.PAMI-4 , pp. 357-363
    • Windham, M.P.1
  • 30
  • 32
    • 0017623936 scopus 로고
    • Prototype classification and feature selection with fuzzy sets
    • Bezdek, J. C.; Castelaz, P. F. Prototype Classification and Feature Selection with Fuzzy Sets. IEEE Trans. Syst., Man. Cybernet. 1977, SMC-7, 87-92.
    • (1977) IEEE Trans. Syst., Man. Cybernet. , vol.SMC-7 , pp. 87-92
    • Bezdek, J.C.1    Castelaz, P.F.2
  • 33
    • 0034925776 scopus 로고    scopus 로고
    • Comparison of pattern recognition techniques for the identification of lactic acid bacteria
    • Dalezios, I.; Siebert, K. J. Comparison of Pattern Recognition Techniques for the Identification of Lactic Acid Bacteria. J. Appl. Microbiol. 2001, 91, 225-236.
    • (2001) J. Appl. Microbiol. , vol.91 , pp. 225-236
    • Dalezios, I.1    Siebert, K.J.2
  • 35
    • 2942703542 scopus 로고    scopus 로고
    • The Starlist database is available from BioByte Corp. at http:// www.biobyte.com.
    • The Starlist Database
  • 36
    • 2942731089 scopus 로고    scopus 로고
    • Molconn-Z is available from eduSoft at http://www.eslc.vabiotech.com/.
  • 37
    • 2942699679 scopus 로고    scopus 로고
    • Barnard Chemical Information Ltd. is at http://www.bci.gb.com/.
  • 38
    • 0042296375 scopus 로고
    • Similarity-based methods for predicting chemical and biological properties: A brief overview from a statistical perspective
    • Bawden, D., Mitchell, E. M., Eds.; Ellis Horwood: New York
    • Johnson, M. A. Similarity-Based Methods for Predicting Chemical and Biological Properties: a Brief Overview from a Statistical Perspective. In Chemical Information Systems: Beyond the Structure Diagram; Bawden, D., Mitchell, E. M., Eds.; Ellis Horwood: New York, 1990; pp 149-159.
    • (1990) Chemical Information Systems: Beyond the Structure Diagram , pp. 149-159
    • Johnson, M.A.1
  • 39
    • 2942751656 scopus 로고    scopus 로고
    • Tripos Inc. is at http://www.tripos.com.
  • 40
    • 0000462999 scopus 로고    scopus 로고
    • Comparison of 2D fingerprint types and hierarchy level selection methods for structural grouping using ward's clustering
    • Wild, D.; Blankley, C. J. Comparison of 2D Fingerprint Types and Hierarchy Level Selection Methods for Structural Grouping Using Ward's Clustering. J. Chem. Inf. Comput. Sci. 2000, 40, 155-162.
    • (2000) J. Chem. Inf. Comput. Sci. , vol.40 , pp. 155-162
    • Wild, D.1    Blankley, C.J.2
  • 41
    • 0029831680 scopus 로고    scopus 로고
    • An automated approach for clustering an ensemble of nmr-derived protein structures into conformationally-related subfamilies
    • Kelley, L. A.; Gardner, S. P.; Sutcliffe, M. J. An Automated Approach for Clustering an Ensemble of NMR-Derived Protein Structures into Conformationally-Related Subfamilies. Prot. Eng. 1996, 9, 1063-1065.
    • (1996) Prot. Eng. , vol.9 , pp. 1063-1065
    • Kelley, L.A.1    Gardner, S.P.2    Sutcliffe, M.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.