Maximum-entropy calculation of free energy distributions in tRNAs

Empirical protein partition functions

In the present paper, we outline how to construct the partition function for a protein using empirical heat capacity data. The procedure is based on the calculation of a set of energy moments from the temperature dependence of the heat capacity. Given a set of energy moments, one can then use the maximum-entropy method to calculate an approximate energy distribution for the protein; the more energy moments one has, the better the approximation. The energy distribution can then be used to calculate the probability that the molecule is in a given energy level, which, using standard statistical mechanics, gives the degeneracy of the particular energy level. The degeneracy as a function of energy is the central ingredient in the construction of the partition function. Given the partition function, one can calculate all of the thermodynamic functions of the protein (free energy, energy, entropy, heat capacity, and energy probability distribution) as a function of temperature. The three-dimensional plot of the probability that the protein has a given energy at a given temperature tells one graphically (without imposing the assumption) whether or not it is a good approximation to divide the terms in the partition function into two or more groups, reflecting, for example, the presence of distinct native and denatured species.

Energy and Enthalpy Distribution Functions for a Few Physical Systems

The present work is devoted to extracting the energy or enthalpy distribution function of a physical system from the moments of the distribution using the maximum entropy method. This distribution theory has the salient traits that it utilizes only the experimental thermodynamic data. The calculated distribution functions provide invaluable insight into the state or phase behavior of the physical systems under study. As concrete evidence, we demonstrate the elegance of the distribution theory by studying first a test case of a two-dimensional six-state Potts model for which simulation results are available for comparison, then the biphasic behavior of the binary alloy Na-K whose excess heat capacity, experimentally observed to fall in a narrow temperature range, has yet to be clarified theoretically, and finally, the thermally induced state behavior of a collection of 16 proteins.