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Using structural motif templates to identify proteins with DNA binding function

机译:使用结构基序模板识别具有DNA结合功能的蛋白质

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摘要

This work describes a method for predicting DNA binding function from structures using 3-dimensional templates. Proteins that bind DNA using small contiguous helix-turn-helix (HTH) motifs comprise a significant number of all DNA-binding proteins. A structural template library of seven HTH motifs has been created from non-homologous DNA-binding proteins in the Protein Data Bank. The templates were used to scan complete protein structures using an algorithm that calculated the root mean squared deviation (rmsd) for the optimal superposition of each template on each structure, based on C_α backbone coordinates. Distributions of rmsd values for known HTH-containing proteins (true hits) and non-HTH proteins (false hits) were calculated. A threshold value of 1.6 A rmsd was selected that gave a true hit rate of 88.4% and a false positive rate of 0.7%. The false positive rate was further reduced to 0.5% by introducing an accessible surface area threshold value of 990 A~2 per HTH motif. The template library and the validated thresholds were used to make predictions for target proteins from a structural genomics project.
机译:这项工作描述了一种使用3D模板从结构预测DNA结合功能的方法。使用小的连续的螺旋-转-螺旋(HTH)基序与DNA结合的蛋白质构成了大量的所有DNA结合蛋白质。从蛋白质数据库中的非同源DNA结合蛋白创建了七个HTH主题的结构模板库。模板用于扫描完整的蛋白质结构,该算法基于C_α主链坐标,计算了每个模板在每个结构上的最佳重叠的均方根偏差(rmsd)。计算了已知的含有HTH的蛋白质(真命中)和非HTH蛋白质(假命中)的rmsd值分布。选择的阈值为1.6 A rmsd,其真实命中率为88.4%,假阳性率为0.7%。通过为每个HTH图案引入990 A〜2的可及表面积阈值,将假阳性率进一步降低至0.5%。模板库和经过验证的阈值用于根据结构基因组计划预测目标蛋白。

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