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基于改进遗传算法的蛋白质三维折叠模拟
Simulation of 3D Protein Folding with Improving Genetic Algorithms
【摘要】 根据氨基酸的序列预测蛋白质的空间结构在基因治疗药物分子设计等方面有巨大的潜在应用价值。本研究基于HP格子模型利用改进的遗传算法预测了蛋白质的三维空间结构。改进的遗传算法引入了克隆体数量限制策略、巢穴竞争选择策略及局部优化策略等。实验结果表明,改进的遗传算法显著地提高了蛋白质结构的预测效率,模拟的蛋白质结构紧凑,更接近真实蛋白质的构型。
【Abstract】 Determination of protein structure from amino acid sequence has potential applications in gene therapy and drug design.In this study,we predict three-dimensional structure of protein by a modified genetic algorithm(GA) form HP latttice model.A number of new genetic operators are introduced in modified GA,including the number limit of clonal individual,brood selection,a local search algorithm,and so on.The results suggest that the modified GA significantly improve efficiency of protein folding.The protein structures simulation are compact,and are more natural-like structure.
【Key words】 Genetic algorithm; protein folding; three dimensional HP model;
- 【文献出处】 分析化学 ,Chinese Journal of Analytical Chemistry , 编辑部邮箱 ,2009年01期
- 【分类号】Q51
- 【被引频次】4
- 【下载频次】204