  Many proteins carry out their biological functions by forming the
characteristic tertiary structures. Therefore, the search of the stable states
of proteins by molecular simulations is important to understand their functions
and stabilities. However, getting the stable state by conformational search is
difficult, because the energy landscape of the system is characterized by many
local minima separated by high energy barriers. In order to overcome this
difficulty, various sampling and optimization methods for conformations of
proteins have been proposed. In this study, we propose a new conformational
search method for proteins by using genetic crossover and Metropolis criterion.
We applied this method to an $\alpha$-helical protein. The conformations
obtained from the simulations are in good agreement with the experimental
results.
