Assuming that mutation and fixation processes are reversible Markov processes, we prove that the equilibrium ensemble of sequences obeys a Boltzmann distribution with , where is Malthusian fitness and and are effective and actual population sizes. On the other hand, the probability distribution of sequences with maximum entropy that satisfies a given amino acid composition at each site and a given pairwise amino acid frequency at each site pair is a Boltzmann distribution with , where is represented as the sum of one body and pairwise potentials. A protein folding theory indicates that homologous sequences obey a canonical ensemble characterized by $\exp(-\Delta G_{ND}/k_B T_s)\exp(- G_{N}/k_B T_s)$ if an amino acid composition is kept constant, where , and are the native and denatured free energies, and is selective temperature. Thus, , , and must be equivalent to each other. Based on the analysis of the changes ($\Delta \psi_N\psi_NT_sT_g\Delta G_{ND}$ are estimated with reasonable values for 14 protein domains. In addition, approximating the probability density function (PDF) of by a log-normal distribution, PDFs of and , which is the ratio of nonsynonymous to synonymous substitution rate per site, in all and in fixed mutants are estimated. It is confirmed that negatively correlates with the mean of . Stabilizing mutations are significantly fixed by positive selection, and balance with destabilizing mutations fixed by random drift. Supporting the nearly neutral theory, neutral selection is not significant.

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