基于贝叶斯定理的势能函数应用于蛋白质结构预测

doi:10.3778/j.issn.1002-8331.2008.25.059

计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (25): 196-198.DOI: 10.3778/j.issn.1002-8331.2008.25.059

基于贝叶斯定理的势能函数应用于蛋白质结构预测

史小红¹,肖宏波¹,肖建华²

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

收稿日期:2008-03-06 修回日期:2008-05-16 出版日期:2008-09-01 发布日期:2008-09-01
通讯作者: 史小红

Based on Bayesian theorem energy function for protein structure prediction

SHI Xiao-hong¹,XIAO Hong-bo¹,XIAO Jian-hua²

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

Received:2008-03-06 Revised:2008-05-16 Online:2008-09-01 Published:2008-09-01
Contact: SHI Xiao-hong

摘要/Abstract

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

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.

Key words: Bayesian theorem, S-potential function, loop-structure prediction

史小红¹,肖宏波¹,肖建华². 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.

SHI Xiao-hong¹,XIAO Hong-bo¹,XIAO Jian-hua². Based on Bayesian theorem energy function for protein structure prediction[J]. Computer Engineering and Applications, 2008, 44(25): 196-198.

基于贝叶斯定理的势能函数应用于蛋白质结构预测

Based on Bayesian theorem energy function for protein structure prediction

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