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基于贝叶斯定理的势能函数应用于蛋白质结构预测
引用本文:史小红,肖宏波,肖建华. 基于贝叶斯定理的势能函数应用于蛋白质结构预测[J]. 计算机工程与应用, 2008, 44(25): 196-198. DOI: 10.3778/j.issn.1002-8331.2008.25.059
作者姓名:史小红  肖宏波  肖建华
作者单位:1.西安工业大学 数理系,西安 710032 2.华中科技大学 控制系,武汉 430074
摘    要:改进了一种基于贝叶斯定理的S势能函数并应用于对loop结构的测试取得较好结果,证明S势能函数对loop结构预测是可行的和有效的。测定结果说明S势能函数的辨别率高于RAPDF势能函数,对loop结构具有较好的预测能力。

关 键 词:贝叶斯定理  S势能函数  loop结构预测  
收稿时间:2008-03-06
修稿时间:2008-5-16 

Based on Bayesian theorem energy function for protein structure prediction
SHI Xiao-hong,XIAO Hong-bo,XIAO Jian-hua. Based on Bayesian theorem energy function for protein structure prediction[J]. Computer Engineering and Applications, 2008, 44(25): 196-198. DOI: 10.3778/j.issn.1002-8331.2008.25.059
Authors:SHI Xiao-hong  XIAO Hong-bo  XIAO Jian-hua
Affiliation:1.Department of Mathematics and Physics,Xi’an Technological University,Xi’an 710032,China 2.Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
Abstract:In this article,an S potential energy function based on Bayesian theorem is presented which is used to test the loop decoys.The fine result shows that this S potential energy function is efficient and suited for loop structure prediction and the prediction ability is better than the RAPDF by the discrimination rate of the loop structure.
Keywords:Bayesian theorem  S-potential function  loop-structure prediction
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