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首页> 外文期刊>BMC Structural Biology >PDBalert: automatic, recurrent remote homology tracking and protein structure prediction
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PDBalert: automatic, recurrent remote homology tracking and protein structure prediction

机译:PDBalert:自动,经常性远程同源性跟踪和蛋白质结构预测

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Background During the last years, methods for remote homology detection have grown more and more sensitive and reliable. Automatic structure prediction servers relying on these methods can generate useful 3D models even below 20% sequence identity between the protein of interest and the known structure (template). When no homologs can be found in the protein structure database (PDB), the user would need to rerun the same search at regular intervals in order to make timely use of a template once it becomes available. Results PDBalert is a web-based automatic system that sends an email alert as soon as a structure with homology to a protein in the user's watch list is released to the PDB database or appears among the sequences on hold. The mail contains links to the search results and to an automatically generated 3D homology model. The sequence search is performed with the same software as used by the very sensitive and reliable remote homology detection server HHpred, which is based on pairwise comparison of Hidden Markov models. Conclusion PDBalert will accelerate the information flow from the PDB database to all those who can profit from the newly released protein structures for predicting the 3D structure or function of their proteins of interest.
机译:背景技术在过去的几年中,用于远程同源性检测的方法变得越来越灵敏和可靠。依靠这些方法的自动结构预测服务器甚至可以在目标蛋白质与已知结构(模板)之间的序列同一性低于20%的情况下生成有用的3D模型。如果在蛋白质结构数据库(PDB)中找不到同源物,则用户需要定期重新运行相同的搜索,以便在模板可用后及时使用。结果PDBalert是一个基于Web的自动系统,一旦与用户监视列表中的蛋白质具有同源性的结构释放到PDB数据库中或出现在保留的序列中,它就会立即发送电子邮件警报。该邮件包含指向搜索结果和自动生成的3D同源性模型的链接。使用与非常敏感和可靠的远程同源性检测服务器HHpred使用的软件相同的软件执行序列搜索,该软件基于Hidden Markov模型的成对比较。结论PDBalert将加快从PDB数据库到所有可以从新发布的蛋白质结构中受益的人的信息流,这些蛋白质结构可以预测目标蛋白质的3D结构或功能。

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