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A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model

机译:基于面心立方格模型的蛋白质结构混合进化预测算法

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A hybrid combination between Differential Evolution (DE) and a local search procedure was used for the protein structure prediction problem. The Face-Centered Cubic lattice model was employed for the protein conformation representation. A Lamarckian combination between the global search of DE and the local search provides better results for obtaining protein conformations with minimal energy under the same number of fitness evaluations in comparison with DE alone. The results were validated with several benchmark protein sequences.
机译:差异进化(DE)和本地搜索程序之间的混合组合用于蛋白质结构预测问题。以面心立方晶格模型表示蛋白质的构象。与仅使用DE相比,在相同数量的适应性评估中,DE的全局搜索和局部搜索之间的Lamarckian组合提供了更好的结果,以最少的能量获得蛋白质构象。通过几个基准蛋白质序列验证了结果。

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