Exploring phase spaces of biomolecules with Monte Carlo methods

Monte Carlo (MC) methods have become an important tool in biophysics, structural molecular biology and rational drug design. They are used to predict quantities that either cannot be measured directly or when accurate experimental data are difficult to obtain. They are also helpful for the interpretation of experimental results since in a simulation the system of interest can be studied in detail on the molecular level.