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The maximum information principle and the evolution of nucleotide sequences

✍ Scribed by Liaofu Luo; Guoyi Bai

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 356 KB
Volume: 174
Category: Article
ISSN: 0022-5193
DOI: 10.1006/jtbi.1995.0086

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✦ Synopsis

The probability distributions of bases in nucleotide sequences are deduced from the maximum information principle by maximizing the entropy (due to random mutation of bases) under certain constraints (Markovian entropy, G+C content, etc, due to selection). Two formulations are given with respect to different selective constraints. The deviations of theoretical distributions from experimental data are lower than 10% for most sequences. It is shown that the Lagrange multipliers change from species to species systematically-i.e. selective constraints correlate with evolution.

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