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The investigation of complex molecular systems by molecular dynamics simulations has been successfully established and proven as a standard method during the last decades. The use of highly optimized algorithms and steadily increasing, generally available computing resources enables even larger and longer simulations. However, the dynamics of the system itself is not accelerated, and it can be trapped in low energy minima that can only be overcome slowly. A number of methods have therefore been developed to address this problem.
Within the context of this dissertation, a novel algorithm based on replica exchange was developed to solve problems with existing methods, which can now be used for large molecular systems with a low resource consumption. Parameter dependence was systematically evaluated and optimized to define guidelines for correct application. This algorithm was successfully applied to various pharmaceutical and biochemical problems, such as protein folding or protein-protein interactions.