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NLM-CHEMSORT: an algorithm and computer program for sorting chemical names.

J Burnside, P N Craig, G T Guthrie

    Journal of Chemical Information and Computer Sciences
    |February 1, 1984
    PubMed
    Summary
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    A new algorithm efficiently sorts diverse chemical names, achieving over 99.9% accuracy. This method generates unique sort keys without increasing storage, enabling logical chemical name sequencing.

    Area of Science:

    • Computational Chemistry
    • Cheminformatics
    • Data Management

    Background:

    • Accurate and efficient sorting of chemical nomenclature is crucial for database management and information retrieval.
    • Existing methods may struggle with the complexity and variety of chemical names (common, generic, trivial, systematic, code numbers).

    Purpose of the Study:

    • To develop and validate an algorithm for logically sequencing medium-size lists of chemical names.
    • To create a robust sorting mechanism that handles various chemical naming conventions.

    Main Methods:

    • Development of a novel algorithm for chemical name sorting.
    • Generation of an 80-character primary sort key (alphabetic) and a 16-character secondary sort key (alphanumeric).
    • Keys are generated dynamically, avoiding increased permanent storage requirements.

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    Main Results:

    • The algorithm successfully sorted over 99.5% of 3767 chemical names in its initial application.
    • Minor algorithm refinements improved success rates to over 99.9% for the same dataset.
    • The sorting process, utilizing primary and secondary keys, yields logical sequences.

    Conclusions:

    • The developed algorithm provides a highly accurate and efficient solution for sorting complex chemical name lists.
    • Dynamic key generation offers a storage-efficient approach to chemical nomenclature management.
    • This method enhances the organization and accessibility of chemical information.