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Coding and ordering Kekulé structures.

Ante Milicević1, Sonja Nikolić, N Trinajstić

  • 1The Rugjer Bosković Institute, P.O. Box 180, HR-10002 Zagreb, Croatia.

Journal of Chemical Information and Computer Sciences
|March 23, 2004
PubMed
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This study introduces numerical Kekulé structures for coding geometrical Kekulé structures in polycyclic conjugated systems. Numerical codes offer a systematic way to order these structures, even for complex molecules like benzenoid hydrocarbons.

Area of Science:

  • * Organic Chemistry
  • * Theoretical Chemistry
  • * Computational Chemistry

Background:

  • * Kekulé structures are fundamental to understanding the aromaticity and electronic properties of conjugated molecules.
  • * Existing methods for classifying and ordering Kekulé structures can be complex, especially for larger polycyclic systems.

Purpose of the Study:

  • * To introduce and explore the concept of numerical Kekulé structures.
  • * To develop a systematic method for coding and ordering geometrical Kekulé structures.
  • * To investigate the applicability of numerical Kekulé structures across various classes of polycyclic conjugated systems.

Main Methods:

  • * Application of numerical Kekulé structure concept to catacondensed, pericondensed, and fully arenoid benzenoid hydrocarbons, thioarenoids, and [N]phenylenes.

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  • * Analysis of the relationship between numerical and geometrical Kekulé structures.
  • * Development of strategies for reconstructing geometrical structures from numerical codes.
  • Main Results:

    • * Numerical Kekulé structures provide a viable coding and ordering system for geometrical Kekulé structures in diverse polycyclic conjugated systems.
    • * Reconstruction of geometrical Kekulé structures from numerical codes is straightforward for catacondensed systems.
    • * For pericondensed benzenoid hydrocarbons, a combination of Wiswesser codes and numerical codes is required for reconstruction, with methods to resolve ambiguities arising from multiple geometrical structures per numerical code.

    Conclusions:

    • * Numerical Kekulé structures offer a powerful and generalizable tool for the systematic study of conjugated molecules.
    • * The proposed coding system simplifies the analysis and comparison of Kekulé structures.
    • * Challenges in reconstructing structures for pericondensed systems are addressed, enhancing the utility of the numerical approach.