Automatic extraction of reaction information from databases using classification and learning techniques

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Chemical Information 2
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Abstract

Work under development at RISC-Linz is outlined. By means of a set of tools for manipulating synthetic information from a reaction database, learn and classification algorithms are used to extract and organise synthetic reaction class descriptions (i.e. reaction patterns). This information is to be used either in an automatic synthetic planning system or for database organisation. The general principle and philosophy of the methods used are explained and two example procedures are suggested which use these principles.

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References

  • Barone, R.., Chanon, M. ‘Computer Aids in Chemistry’, Ellis Harwood, Chichester, 1986

    Google Scholar 

  • Wochner, M.., Brandt, J.., von Scholley, A., Ugi, I. ‘Chemical Similarity, Chemical Distance, and its Exact Determination’. Chimia, 1988, 42, 217–225

    Google Scholar 

  • Hendrickson, J.B., Toczko, G.A. Synthesis Design Logic and the SYNGEN (Synthesis Generation) Program. Pure & Applied Chem., 1988, 1563–1572

    Google Scholar 

  • Corey, E.J., Wipke, W. T. ‘Computer-Assisted Design of Complex Organic Synthesis’, Science 1969, 166, 178–192

    Article  Google Scholar 

  • Funatsu, K.., Endo, T., Kotera, N., Sasaki, S. ‘Automatic Recognition of Reaction Site in Organic Chemical Reactions’, Tetrahedron Comput. Methodol., 1988, 1, 53–70

    Article  Google Scholar 

  • Nagy, M.Z., Kozics, S., Vespremi, T., Brack, P. ‘Substructure Search on very large files using Tree-Structured Databases’, Chemical Structures, Springer-Verlag, Berlin, 1988

    Google Scholar 

  • Pearl, J. ‘Search and Heuristics’, North-Holland, Amsterdam, 1983

    MATH  Google Scholar 

  • Cohen, P.E., Feigenbaum, E.A. ‘The Handbook of Artificial Intelligence’, Pitman Books, London, 1983, Vol. 3

    Google Scholar 

  • Balaban, A.T. ‘Chemical Applications of Graph Theory’, Academic Press, London,1976

    Google Scholar 

  • Blurock, E. S. ‘Hierachial Planning in Automatic Synthetic Chemistry’, Software-Entwicklung in der Chemie, 1988, 2, 369–380

    Article  Google Scholar 

  • Blurock, E. S. ‘Computer Aided Organic Synthesis: Development and Implementation of a Complete Synthetic Strategy’, Tetrahedron Comp. Method, 1988, 2, 207–222.

    Article  Google Scholar 

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© 1991 Springer-Verlag Berlin Heidelberg

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Blurock, E.S. (1991). Automatic extraction of reaction information from databases using classification and learning techniques. In: Collier, H.R. (eds) Chemical Information 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85872-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-85872-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53199-9

  • Online ISBN: 978-3-642-85872-7

  • eBook Packages: Springer Book Archive

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