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预测蛋白质折叠结构的剪枝算法
引用本文:陈昊,王代萍. 预测蛋白质折叠结构的剪枝算法[J]. 湖北大学学报(自然科学版), 2010, 32(1): 37-41
作者姓名:陈昊  王代萍
作者单位:湖北大学,数学与计算机科学学院,湖北,武汉,430062;湖北大学,知行学院,湖北,武汉,430011
摘    要:为求解蛋白质折叠结构预测问题提出一种基于剪枝策略的启发式搜索算法.剪枝算法用一棵搜索树描述蛋白质构形的生长过程,通过定义权重、上下门槛制定一套有效的控制分支繁殖的规则,从而极大地提高了搜索的效率.采用国际文献公认的10个算例作为剪枝算法的实验测试集,并与目前国际上4个著名的算法进行比较,实验比较结果表明剪枝算法是一个高效的求解算法.

关 键 词:格点模型  NP难问题  剪枝策略  权重  构形

Pruning algorithm for predicting the protein folding structure prediction
CHEN Hao,WANG Daiping. Pruning algorithm for predicting the protein folding structure prediction[J]. Journal of Hubei University(Natural Science Edition), 2010, 32(1): 37-41
Authors:CHEN Hao  WANG Daiping
Affiliation:1.School of Mathematics and Computer Science,Hubei University,Wuhan 430062,China;2.Zhixing College,Hubei University,Wuhan 430011,China)
Abstract:A new heuristic algorithm based on pruning strategy was proposed for solving the problem of the protein folding structure prediction.Pruning algorithm used a searching tree describe the growth processes of a protein configuration and set out a suit of effective rules in order to prune less qualified branches.The results were shown that the search efficiency was improved largely.We applyed the proposed algorithms to the 10 standard benchmark instances from the literature,and the effectiveness of pruning algorithm was demonstrated through comparing computational results with other four famous algorithms.
Keywords:lattice model  NP-hard problem  pruning strategy  weight  configuration
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