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On the Accuracy of Homology Modeling and Sequence Alignment Methods Applied to Membrane Proteins

机译:膜蛋白同源性建模和序列比对方法的准确性

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摘要

In this study, we investigate the extent to which techniques for homology modeling that were developed for water-soluble proteins are appropriate for membrane proteins as well. To this end we present an assessment of current strategies for homology modeling of membrane proteins and introduce a benchmark data set of homologous membrane protein structures, called HOMEP. First, we use HOMEP to reveal the relationship between sequence identity and structural similarity in membrane proteins. This analysis indicates that homology modeling is at least as applicable to membrane proteins as it is to water-soluble proteins and that acceptable models (with Cα-RMSD values to the native of 2 Å or less in the transmembrane regions) may be obtained for template sequence identities of 30% or higher if an accurate alignment of the sequences is used. Second, we show that secondary-structure prediction algorithms that were developed for water-soluble proteins perform approximately as well for membrane proteins. Third, we provide a comparison of a set of commonly used sequence alignment algorithms as applied to membrane proteins. We find that high-accuracy alignments of membrane protein sequences can be obtained using state-of-the-art profile-to-profile methods that were developed for water-soluble proteins. Improvements are observed when weights derived from the secondary structure of the query and the template are used in the scoring of the alignment, a result which relies on the accuracy of the secondary-structure prediction of the query sequence. The most accurate alignments were obtained using template profiles constructed with the aid of structural alignments. In contrast, a simple sequence-to-sequence alignment algorithm, using a membrane protein-specific substitution matrix, shows no improvement in alignment accuracy. We suggest that profile-to-profile alignment methods should be adopted to maximize the accuracy of homology models of membrane proteins.
机译:在这项研究中,我们调查了为水溶性蛋白开发的同源性建模技术也适用于膜蛋白的程度。为此,我们提出了对膜蛋白同源性建模的当前策略的评估,并介绍了称为HOMEP的同源膜蛋白结构的基准数据集。首先,我们使用HOMEP揭示膜蛋白中序列同一性和结构相似性之间的关系。该分析表明同源性建模至少对膜蛋白和水溶性蛋白都适用,并且可以为模板获得可接受的模型(跨膜区域的Cα-RMSD值等于或小于2Å的天然值)如果使用序列的精确比对,则序列同一性为30%或更高。第二,我们表明为水溶性蛋白质开发的二级结构预测算法对膜蛋白质的性能大致相同。第三,我们对应用于膜蛋白的一组常用序列比对算法进行了比较。我们发现可以使用针对水溶性蛋白开发的最新的profile-to-profile方法获得膜蛋白序列的高精度比对。当将来自查询的二级结构和模板的权重用于比对评分时,观察到了改进,该结果依赖于查询序列的二级结构预测的准确性。使用借助结构比对构建的模板轮廓可获得最准确的比对。相反,使用膜蛋白特异性取代矩阵的简单序列对序列比对算法显示比对精度没有提高。我们建议应该使用配置文件到配置文件的对齐方法以最大化膜蛋白同源性模型的准确性。

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