基于广义伪氨基酸组成的蛋白质结构类型预测
被引量：1
摘要
在传统的20种氨基酸组成的基础上,根据氨基酸自身的6种重要性质和6种氨基酸疏水模式构造了32-D特征向量来表示蛋白质序列,然后借助于贝叶斯决策对于同源性不超过25%的数据集进行蛋白质结构类型的预测研究,正确率达到55%左右。
出处
《宜春学院学报》
2011年第8期19-22,共4页
Journal of Yichun University
基金
辽宁省教育厅科学研究计划(2010009)
参考文献6
-
1Xiaoqi Zheng, Taigang Liu, Chun Li, Jun Wang,An infor- mation - theoretic approach to the prediction of protein structural class [ J ]. Comput Chem , 2010,31 ( 6 ) : 1201 - 1206.
-
2K.C. Chou, Prediction of protein cellular attributes using pseudo amino acid composition [ M ] . PROTEINS : Struet. Func. Genetics, 2001,43,246 - 255.
-
3Q.s. DU, Z.Q. Jiang, w.z. He, D.P. Li, K.C. Chou,Amino acid principal component analysis (AAPCA) and its applications in protein structural class prediction [ J ]. Bio- molecular Structure and Dynamics, 2006, (23) : 635 - 640.
-
4姜小莹,朱俊东,李晓波,张同亮.使用伪氨基酸组成和模糊支持向量机预测蛋白质结构类[J].生物物理学报,2008,24(1):43-48. 被引量：2
-
5G.D. Rose, A.R. Geselowitz, G.J. Lesser, R.H. Lee, M.H. Zehfus. Hydrophobic of amino acid residue in globu- lar proteins [ J ]. Science, 1985, (229) : 834 - 838.
-
6K. Chen, LA. Kurgan, J. Ruan, Prediction of protein struc- tural class using novel evolutionary collocation based se- quence representation [ J ]. Comput. Chem. ,2008,29 ( 10 ) : 1596 - 1604.
二级参考文献26
-
1[9]Du QS,Jiang ZQ,He WZ,Li DP,Chou KC.Amino acid principal component analysis (AAPCA) and its applications in protein structural class prediction.Journal of Biomolecular Structure and Dynamics,2006,23:635～640
-
2[10]Kurgan L,Hornaeian L.Prediction of structural classes for protein sequences and domains-impact of prediction algorithms,sequence representation and homology,and test procedures on accuracy.Pattern Recognition Letter,2006,39:2323～2343
-
3[11]Kedarisetti KD,Kurgan LA,Dick S.Classifier ensembles for protein structural class prediction with varying homology.Biochem Biophys Res Comraun,2006,348:981～988
-
4[12]Chou KC,Cai YD.Predicting protein structural class by functional domain composition.Biochemical and Biophysical Research Communications (Corrigendum:ibid.,2005,Vol.329,1362) 2004,321:1007～1009
-
5[13]Can Y,Liu S,Zhang L,Qin J,Wang J,Tang K.Prediction of protein structural class with Rough Sets.BMC Bioinfor-matics,2006,7:20～25
-
6[14]Cai YD,Liu XJ,Xu X,Zhou GP.Support vector machines for predicting protein structural class.BMC Bioinformatics,2001,2:3～7
-
7[15]Feng KY,Cai YD,Chon KC.Boosting classifier for predicting protein domain structural class.Biochemical and Biophysical Research Communications,2005,334:213～217
-
8[16]Niu B,Cai YD,Lu WC,Zheng GY,Chon KC.Predicting protein structural class with AdaBoost learner.Protein ＆ Peptide Letters,2006,13:489～492
-
9[17]Chou KC.Prediction of protein cellular attributes using pseudo amino acid composition.PROTEINS:Structure,Func-tion,and Genetics (Erratum:ibid.,2001,Vol.44,60) 2001,43:246～255
-
10[18]Lim VI.Algorithms for the prediction of a-helical and 0-structural regions in globular proteins.J Mol Biol,1974,88:873～894
同被引文献9
-
1Zheng X, Li C, Wang J. An information - theoretic approach to the prediction of protein structural class~ J]. J. Comput. Chem. , 2010,31(6): 1201 -1206.
-
2Chen K, Kurgan L A, Ruan J. Prediction of protein structural class using novel evolutionary collocation based sequence repre- sentation[Jl. J. Comput. Chem., 2008,29(10):1596-1604.
-
3Cheon M, Chang I. Clustering of the Protein Design Alphabets by Using Hierarchical Self - Organizing Map [ J ]. J. Korean Phys. Soc. ,2004, (44) : 1577 - 1580.
-
4Wang J, Wang W. Modeling study on the validity of a possibly simplified representation of proteins [ J ]. Phys. Rev. E. , 2000, (61) : 6981 -6986.
-
5Wang J, Wang W. A computational approach to simplifying the protein folding problem[ J]. Nature Structural Bio. 1, 1999, (6) : 1033 - 1038.
-
6Lempel A, Ziv J. On the Complexity of Finite Sequences [ J ]. IEEE T. Inform. Theory, 1976, 22:75 -81.
-
7Li C, Ma H, Zhou Y, Wang X,Zheng X, Similarity analysis of DNA sequences bases on the weighted pseudo - entropy [ J ]. J. Comput. Chem. , 2011,32(04) :675 -680.
-
8肖绚,肖纯材,王普.基于距离矩阵灰度图的蛋白质二级结构类型预测[J].计算机应用研究,2010,27(10):3698-3700. 被引量：4
-
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-
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-
2解密构造精密的手:进化源自共有祖先[J].中国科技奖励,2012(10):12-13.
-
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-
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-
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-
8谢军民,杜奇石,王树青,李大鹏,孙浩.氨基酸主成分分析法及在蛋白质结构预测中的应用[J].天津师范大学学报（自然科学版）,2005,25(1):1-5. 被引量：1
-
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