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The Statistical Analysis of Protein Domain Family Distributions via Jaccard Entropy Measures

In: Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment

Author

Listed:
  • R. P. Mondaini

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

  • S. C. de Albuquerque Neto

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

Abstract

The present work is part of a research programme of assessment of protein databases by applying statistical analysis of protein domain families and their consequent association into clans. An extensive discussion on the construction of an adequate sample space will lead to support the classification of protein domains in families and clans of the literature. An interesting derivation via the Jaccard entropy measure of a specific variable of the non-dimensional parameter of a Havrda–Charvat entropy measure, which corresponds to the best approximation to a normal distribution, is the most important result to be reported here.

Suggested Citation

  • R. P. Mondaini & S. C. de Albuquerque Neto, 2020. "The Statistical Analysis of Protein Domain Family Distributions via Jaccard Entropy Measures," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment, pages 169-207, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-46306-9_13
    DOI: 10.1007/978-3-030-46306-9_13
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