Protein Structure Prediction

 Predicting the structure of proteins remains an open problem of great importance in structural biology. The large size of the search space and the robustness of the fitness landscape make it a difficult NP problem, even for modern computer hardware and next generation optimization algorithms. Popular methods, such as Rosetta, must generate a substantial number of protein models due to the large number of local minima. In this situation, and with the democratization of parallel totaling architectures, population-based metaheuristics, such as evolutionary procedures, represent an interesting substitute.  

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