https://doi.org/10.1140/epjp/s13360-023-04764-x
Regular Article
Range of correlations in the size distributions of plant proteins
1
Departamento de Física, Universidade do Estado do Rio Grande do Norte, 59610-210, Mossoró, RN, Brazil
2
Departamento de Ciências Vegetais, Universidade Federal Rural do Semi-Árido, 59625-900, Mossoró, RN, Brazil
3
Departamento de Biofísica e Farmacologia, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN, Brazil
4
Departamento de Física, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN, Brazil
Received:
4
July
2023
Accepted:
1
December
2023
Published online:
18
December
2023
We report a comparative analysis of protein length distributions for 23 plant species. The protein lengths are measured in number of amino acids (aa). Data were extracted from the NCBI protein dataset. We consider three distinct cumulative distribution functions (CDFs) associated with the 
Gaussian,
Weibull, and 
Maxwellian distributions. Two statistical methods were used to compare the models studied: Bayesian inference and the AIC and BIC information criteria. The first method did not provide enough evidence for any of the associated distributions, but by additional analysis we found that
Gaussian and Maxwellian distribution functions better fit the cumulative length distributions of plant proteins. Regardless of the model, we identified a common range for the correlations between the lengths of plant proteins:
= 1.28 (4) and 
= 0.38(4).
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
