title: The maximum information principle and the evolution of nucleotide sequences.
abstract: 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.
authors.affiliation: Department of Physics, Inner Mongolia University, Huhehote, China.
authors.forename: L
authors.initials: L
authors.lastname: Luo
authors.forename: G
authors.initials: G
authors.lastname: Bai
mesh_terms: D000818:Animals; D001483:Base Sequence; D005075:Biological Evolution; D008957:Models, Genetic; D013223:Statistics as Topic