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Molecular Dissimilarity in Chemical Information Systems

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Chemical Structures 2

Abstract

The concept of molecular dissimilarity is introduced, and shown to be a powerful complement to the well-established notion of molecular similarity. It provides a quantitative assessment of structural variation and diversity. Applications within chemical information systems are discussed. These include ranking of search output, selection of representative sets of structures, file screening, data analysis, and creativity stimulation.

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References

  1. Similarity and Clustering in Chemical Information Retrieval; Willett, P.; Research Studies Press: Letch worth, 1987.

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  2. Willett, P.; Winterman, V. ‘A Comparison of Some Measures for the Determination of Intermolecular Structural Similarity’. Quant. Struct. Act. Relat., 1986, 5, 18–25.

    Article  CAS  Google Scholar 

  3. 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.

    Article  CAS  Google Scholar 

  4. Bawden, D. ‘Browsing and Clustering of Chemical Structures’. In Chemical Structures: The International Language of Chemistry; Warr, W.A., Ed.; Springer Verlag: Heidelberg, 1988, pp. 145–150.

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  5. Carhart, R.E.; Smith, D.H.; Venkatararghavan, R. ‘Atom Pairs as Molecular Features in Structure Activity Studies - Definition and Application’. J. Chem. Inf. Comput. Sci. 1985, 25, 64–73.

    Article  CAS  Google Scholar 

  6. Willett, P.; Winterman, V.; Bawden, D. Implementation of Non-heirarchic 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.

    Article  CAS  Google Scholar 

  7. The Use of Lateral Thinking; de Bono, E.; Penguin: London, 1990.

    Google Scholar 

  8. Bawden, D. ‘Information Systems and the Stimulation of Creativity’. J. Inf. Sci. 1986, 12, 203–216.

    Article  Google Scholar 

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© 1993 Springer-Verlag Berlin Heidelberg

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Bawden, D. (1993). Molecular Dissimilarity in Chemical Information Systems. In: Warr, W.A. (eds) Chemical Structures 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78027-1_33

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  • DOI: https://doi.org/10.1007/978-3-642-78027-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78029-5

  • Online ISBN: 978-3-642-78027-1

  • eBook Packages: Springer Book Archive

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