利用残基间平均距离统计分析β三明治蛋白折叠位点的局部序列

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2011-04-20 DOI:10.2174/1875036201105010059
Y. Ishizuka, T. Kikuchi
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引用次数: 10

摘要

基于残基间平均距离统计分析了夹层蛋白azurin和titin的序列。一种基于残基间平均距离统计的预测接触图(average distance map, ADM)用于确定两个蛋白质可能紧密区域的区域。我们将预测的紧致区域与文献中报道的这些蛋白质的实验高值的残基位置进行比较。结果表明,ADMs预测的区域与值较高的残基位置相对应。此外,我们使用这些蛋白质序列进行三维构象的随机抽样,这些蛋白质序列具有残基间平均距离统计的潜力。结果表明,在模拟过程中,接触频率最高的残基定性地对应于这些蛋白质值最高的残基。重要的是,残基间平均距离统计分析仅从序列信息开始预测三明治蛋白折叠过程的性质。
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Analysis of the Local Sequences of Folding Sites in β Sandwich Proteinswith Inter-Residue Average Distance Statistics
The sequences of azurin and titin,  sandwich proteins, are analyzed based on inter-residue average distance statistics. A kind of predicted contact map based on inter-residue average distance statistics (Average Distance Map, ADM) is used to pinpoint regions of possible compact regions for two proteins. We compare predicted compact regions with the positions of the residues with experimental high  values for these proteins reported in the literature. The results reveal that the regions predicted by ADMs correspond to the positions of residues with the high  value. Furthermore, we perform random sampling of 3D conformations using these protein sequences with a potential derived from inter-residue average distance statistics. It is demonstrated that the residues with highest contact frequency during the simulations quali- tatively correspond to the residues with the highest  values for these proteins. Importantly, analysis with inter-residue av- erage distance statistics predicts the properties of folding processes of the  sandwich proteins starting from only sequence information.
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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