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.
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Acknowledgements
Simão C. de Albuquerque Neto thanks the International Union of Biological Sciences (IUBS) for partial support of living expenses in Szeged, during the 19th BIOMAT International Symposium, October 20–26, 2019.
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Mondaini, R.P., de Albuquerque Neto, S.C. (2020). The Statistical Analysis of Protein Domain Family Distributions via Jaccard Entropy Measures. In: Mondaini, R.P. (eds) Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment. BIOMAT 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-46306-9_13
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