Tackling the protein folding problem by a generalized-ensemble approach with Tsallis statistics

We review uses of Tsallis statistical mechanics in the protein folding prob lem. Monte Carlo simulated annealing algorithm and generalized-ensemble alg orithm with both Monte Carlo and stochastic dynamics algorithms are discuss ed. Simulations by these algorithms are performed for a penta peptide, Met- enkephalin. In particular, for generalized-ensemble algorithms, it is shown that from only one simulation run one can find the global-minimum-energy c onformation and obtain probability distributions in canonical ensemble for a wide temperature range, which allows the calculation of any thermodynamic quantity as a function of temperature.