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Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction
Protein structure prediction is considered as one of the most challenging and computationally intractable combinatorial problem.
Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction
In this paper, we develop a genetic algorithm that mainly uses a high resolution energy model for protein structure evaluation but uses a low resolution HP energy model in focussing the search towards exploring structures that have hydrophobic cores.
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