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Prediction of protein secondary structure with a reliability score estimated by local sequence clustering
Jiang, F
刊名PROTEIN ENGINEERING
2003
卷号16期号:9页码:651
关键词NEURAL-NETWORKS GLOBULAR-PROTEINS ALIGNMENTS CLASSIFICATION IMPROVEMENT RECOGNITION 70-PERCENT DATABASE ACCURACY PROFILES
ISSN号0269-2139
通讯作者Jiang, F (reprint author), Chinese Acad Sci, Inst Phys, POB 603, Beijing 100080, Peoples R China.
中文摘要Most algorithms for protein secondary structure prediction are based on machine learning techniques, e.g. neural networks. Good architectures and learning methods have improved the performance continuously. The introduction of profile methods, e.g. PSI-BLAST, has been a major breakthrough in increasing the prediction accuracy to close to 80%. In this paper, a brute-force algorithm is proposed and the reliability of each prediction is estimated by a z-score based on local sequence clustering. This algorithm is intended to perform well for those secondary structures in a protein whose formation is mainly dominated by the neighboring sequences and short-range interactions. A reliability z-score has been defined to estimate the goodness of a putative cluster found for a query sequence in a database. The database for prediction was constructed by experimentally determined, non-redundant protein structures with <25% sequence homology, a list maintained by PDBSELECT. Our test results have shown that this new algorithm, belonging to what is known as nearest neighbor methods, performed very well within the expectation of previous methods and that the reliability z-score as defined was correlated with the reliability of prediction. This led to the possibility of making very accurate predictions for a few selected residues in a protein with an accuracy measure of Q(3) > 80%. The further development of this algorithm, and a nucleation mechanism for protein folding are suggested.
收录类别SCI
语种英语
公开日期2013-09-24
内容类型期刊论文
源URL[http://ir.iphy.ac.cn/handle/311004/51226]  
专题物理研究所_物理所公开发表论文_物理所公开发表论文_期刊论文
推荐引用方式
GB/T 7714
Jiang, F. Prediction of protein secondary structure with a reliability score estimated by local sequence clustering[J]. PROTEIN ENGINEERING,2003,16(9):651.
APA Jiang, F.(2003).Prediction of protein secondary structure with a reliability score estimated by local sequence clustering.PROTEIN ENGINEERING,16(9),651.
MLA Jiang, F."Prediction of protein secondary structure with a reliability score estimated by local sequence clustering".PROTEIN ENGINEERING 16.9(2003):651.
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