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首页> 外文期刊>Nucleic Acids Research >ORFeus: detection of distant homology using sequence profiles and predicted secondary structure
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ORFeus: detection of distant homology using sequence profiles and predicted secondary structure

机译:ORFeus:使用序列图谱和预测的二级结构检测远距离同源性

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摘要

ORFeus is a fully automated, sensitive protein sequence similarity search server available to the academic community via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/). The goal of the development of ORFeus was to increase the sensitivity of the detection of distantly related protein families. Predicted secondary structure information was added to the information about sequence conservation and variability, a technique known from hybrid threading approaches. The accuracy of the meta profiles created this way is compared with profiles containing only sequence information and with the standard approach of aligning a single sequence with a profiles is more sensitive in detecting remote homology between protein families than if aligning two sequence-only profiles or if aligning a profile with a sequence. The specificity of the alignment score is improved in the lower specificity range compared with the robust sequence-only profiles.
机译:ORFeus是一种全自动的,敏感的蛋白质序列相似性搜索服务器,可通过结构预测元服务器(http://BioInfo.PL/Meta/)向学术界提供。 ORFeus开发的目的是提高检测远距离相关蛋白家族的灵敏度。将预测的二级结构信息添加到有关序列保守性和可变性的信息中,这是一种从混合线程方法中获知的技术。将以这种方式创建的元配置文件的准确性与仅包含序列信息的配置文件进行比较,并与将单个序列与配置文件进行比对的标准方法相比,比对两个仅序列的配置文件或将配置文件与序列对齐。与稳健的仅纯序列相比,比对得分的特异性在较低的特异性范围内得到了改善。

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