通过改进的PRIDE算法高效识别蛋白质三维结构中的折叠。
Efficient recognition of folds in protein 3D structures by the improved PRIDE algorithm.
作者信息
Gáspári Zoltán, Vlahovicek Kristian, Pongor Sándor
机构信息
Bioinformatics Group, Biological Research Center, Hungarian Academy of Sciences, Temesvári krt., 62, Szeged, Hungary.
出版信息
Bioinformatics. 2005 Aug 1;21(15):3322-3. doi: 10.1093/bioinformatics/bti513. Epub 2005 May 24.
UNLABELLED
An improved version of the PRIDE (PRobaility of IDEntity) fold prediction algorithm has been developed, based on more solid statistical basis, fast search capabilities and efficient input structure processing. The new algorithm is effective in identifying protein structures at the 'H' level of the CATH hierarchy.
AVAILABILITY
The new algorithm is integrated into the PRIDE2 web servers at http://pride.szbk.u-szeged.hu and http://www.icgeb.org/pride.
SUPPLEMENTARY INFORMATION
Detailed documentation and performance evaluation is available in the description section of the PRIDE2 web server.
未标注
基于更坚实的统计基础、快速搜索能力和高效的输入结构处理，开发了PRIDE（身份概率）折叠预测算法的改进版本。新算法在识别CATH层次结构中“H”级别的蛋白质结构方面很有效。
可用性
新算法已集成到位于http://pride.szbk.u-szeged.hu和http://www.icgeb.org/pride的PRIDE2网络服务器中。
补充信息
PRIDE2网络服务器的描述部分提供了详细的文档和性能评估。
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