IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-73241-7_13.html
   My bibliography  Save this book chapter

A Jaccard-Like Symbol and Its Usefulness in the Derivation of Amino Acid Distributions in Protein Domain Families

In: Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells

Author

Listed:
  • Rubem P. Mondaini

    (Federal University of Rio de Janeiro, Centre of Technology, COPPE)

  • Simão C. de Albuquerque Neto

    (Federal University of Rio de Janeiro, Centre of Technology, COPPE)

Abstract

Entropy measures have been used to derive the distributions of amino acids in Protein Domain Families in the current literature. In this note, we analyse the performance of a functional of entropy measures based on the Jaccard symbol. This concept has been used by the botanist P. Jaccard on his work for classifying flowers in the Alps more than one century ago. We presume that the usefulness of our proposal for a Jaccard-like symbol will be also efficient for understanding and describing the evolution of protein domains as observed on protein databases. We are living an Ephemerides epoch again. We are not working with the motion of planets as registered by the observations of centuries, but we intend to understand the evolution process and the protein motion toward a folded state and vice versa.

Suggested Citation

  • Rubem P. Mondaini & Simão C. de Albuquerque Neto, 2021. "A Jaccard-Like Symbol and Its Usefulness in the Derivation of Amino Acid Distributions in Protein Domain Families," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells, pages 201-220, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-73241-7_13
    DOI: 10.1007/978-3-030-73241-7_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-73241-7_13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.