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势能曲面变平法的改进及其在三维非格点模型中的应用
引用本文:刘景发,黄文奇.势能曲面变平法的改进及其在三维非格点模型中的应用[J].计算机与应用化学,2007,24(10):1337-1340.
作者姓名:刘景发  黄文奇
作者单位:华中科技大学计算机学院,华中科技大学计算机学院 湖北,武汉,430074,湖北,武汉,430074
基金项目:国家自然科学基金 , 国家重点基础研究发展计划(973计划)
摘    要:根据蛋白质的氨基酸序列预测其空间结构可以归纳为一个多极值的全局优化问题,缺少一种有效的全局寻优方法是阻碍这一难题解决的一个关键。势能曲面变平(ELP)法是一种启发式的全局优化算法,是一种推广的蒙特卡罗(MC)法,已被成功地应用于蛋白质结构预测问题。本文在ELP法的基础上,提出改进的势能曲面变平(ELP )算法。将ELP 算法应用于三维非格点的蛋白质AB模型,预测和发现蛋白质结构,数值实验表明ELP 算法是一种预测蛋白质结构的有效算法,计算结果优于ELP和MC算法。

关 键 词:蛋白质结构预测  非格点模型  蒙特卡罗方法  ELP方法
文章编号:1001-4160(2007)10-1337-1340
修稿时间:2006-10-30

An improved energy landscape paving method and its application in 3D off-lattice model
Liu Jingfa,Huang Wenqi.An improved energy landscape paving method and its application in 3D off-lattice model[J].Computers and Applied Chemistry,2007,24(10):1337-1340.
Authors:Liu Jingfa  Huang Wenqi
Affiliation:School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
Abstract:Predicting the structure of a protein from its amino acid sequences is a global optimization problem. Locking powerful optimization method is the key obstacle to this problem. The energy landscape paving (ELP) method is a class of heuristic global optimization algorithm that is a generation of Monte Carlo (MC ) method, and has been successfully applied to solving protein structure prediction problem. Based on ELP method, an improved energy landscape paving ( ELP ) algorithm is put forward. The ELP algorithm is applied to the 3D off-lattice protein AB model to predict protein structure. Experimental results show that the ELP algorithm is quite effective in the protein structure prediction problem and outperforms ELP and MC algorithms.
Keywords:protein structure prediction  off-lattice model  Monte Carlo method  ELP method
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