首页> 外文期刊>Nucleic Acids Research >PROTEUS2: a web server for comprehensive protein structure prediction and structure-based annotation.
【24h】

PROTEUS2: a web server for comprehensive protein structure prediction and structure-based annotation.

机译:PROTEUS2:Web服务器,用于全面的蛋白质结构预测和基于结构的注释。

获取原文
获取原文并翻译 | 示例
           

摘要

PROTEUS2 is a web server designed to support comprehensive protein structure prediction and structure-based annotation. PROTEUS2 accepts either single sequences (for directed studies) or multiple sequences (for whole proteome annotation) and predicts the secondary and, if possible, tertiary structure of the query protein(s). Unlike most other tools or servers, PROTEUS2 bundles signal peptide identification, transmembrane helix prediction, transmembrane o-strand prediction, secondary structure prediction (for soluble proteins) and homology modeling (i.e. 3D structure generation) into a single prediction pipeline. Using a combination of progressive multi-sequence alignment, structure-based mapping, hidden Markov models, multi-component neural nets and up-to-date databases of known secondary structure assignments, PROTEUS is able to achieve among the highest reported levels of predictive accuracy for signal peptides (Q2 = 94%), membrane spanning helices (Q2 = 87%) and secondary structure (Q3 score of 81.3%). PROTEUS2's homology modeling services also provide high quality 3D models that compare favorably with those generated by SWISS-MODEL and 3D JigSaw (within 0.2 c RMSD). The average PROTEUS2 prediction takes ~3 min per query sequence. The PROTEUS2 server along with source code for many of its modules is accessible a http://wishart.biology.ualberta.ca/proteus2.
机译:PROTEUS2是一个Web服务器,旨在支持全面的蛋白质结构预测和基于结构的注释。 PROTEUS2接受单个序列(用于定向研究)或多个序列(用于整个蛋白质组注释),并预测查询蛋白的二级和三级结构(如果可能)。与大多数其他工具或服务器不同,PROTEUS2将信号肽识别,跨膜螺旋预测,跨膜o链预测,二级结构预测(适用于可溶性蛋白)和同源性建模(即3D结构生成)捆绑在一个预测管线中。通过结合进行性多序列比对,基于结构的映射,隐藏的马尔可夫模型,多成分神经网络和已知二级结构分配的最新数据库的组合,PROTEUS能够实现报告准确性最高的报告信号肽(Q2 = 94%),跨膜螺旋(Q2 = 87%)和二级结构(Q3得分81.3%)。 PROTEUS2的同源性建模服务还提供了高质量的3D模型,与SWISS-MODEL和3D JigSaw(在0.2 c RMSD内)生成的模型相比具有优势。每个查询序列平均PROTEUS2预测大约需要3分钟。可从http://wishart.biology.ualberta.ca/proteus2访问PROTEUS2服务器及其许多模块的源代码。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号