Improving Protein Structure Prediction by New Strategies: Experimental Insights and the Genetic Algorithm
نویسنده
چکیده
Three different approaches to improve tertiary fold prediction using the genetic algorithm are discussed: (i) Refinement of the search strategy, (ii) combination of prediction and experiment and (iii) inclusion of experimental data as selection criteria into the genetic algorithm. Examples from our current work are presented for refined strategies against crowding in solution space, definition of domain boundaries and secondary structure in combination with experiment, and direct incorporation of experimentally known distance constraints into the fitness function.
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