Berjanskii Mark, Tang Peter, Liang Jack, Cruz Joseph A, Zhou Jianjun, Zhou You, Bassett Edward, MacDonell Cam, Lu Paul, Lin Guohui, Wishart David S
Department of Computing Science, University of Alberta and National Research Council, National Institute for Nanotechnology, Edmonton, AB, Canada T6G 2E8.
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W670-7. doi: 10.1093/nar/gkp280. Epub 2009 Apr 30.
GeNMR (GEnerate NMR structures) is a web server for rapidly generating accurate 3D protein structures using sequence data, NOE-based distance restraints and/or NMR chemical shifts as input. GeNMR accepts distance restraints in XPLOR or CYANA format as well as chemical shift files in either SHIFTY or BMRB formats. The web server produces an ensemble of PDB coordinates for the protein within 15-25 min, depending on model complexity and completeness of experimental restraints. GeNMR uses a pipeline of several pre-existing programs and servers to calculate the actual protein structure. In particular, GeNMR combines genetic algorithms for structure optimization along with homology modeling, chemical shift threading, torsion angle and distance predictions from chemical shifts/NOEs as well as ROSETTA-based structure generation and simulated annealing with XPLOR-NIH to generate and/or refine protein coordinates. GeNMR greatly simplifies the task of protein structure determination as users do not have to install or become familiar with complex stand-alone programs or obscure format conversion utilities. Tests conducted on a sample of 90 proteins from the BioMagResBank indicate that GeNMR produces high-quality models for all protein queries, regardless of the type of NMR input data. GeNMR was developed to facilitate rapid, user-friendly structure determination of protein structures via NMR spectroscopy. GeNMR is accessible at http://www.genmr.ca.
GeNMR(生成核磁共振结构)是一个网络服务器,用于使用序列数据、基于核Overhauser效应(NOE)的距离约束和/或核磁共振化学位移作为输入,快速生成准确的三维蛋白质结构。GeNMR接受XPLOR或CYANA格式的距离约束以及SHIFTY或BMRB格式的化学位移文件。根据模型的复杂性和实验约束的完整性,该网络服务器会在15至25分钟内生成蛋白质的一组PDB坐标。GeNMR使用多个现有程序和服务器的管道来计算实际的蛋白质结构。特别是,GeNMR将用于结构优化的遗传算法与同源建模、化学位移穿线、基于化学位移/NOE的扭转角和距离预测以及基于ROSETTA的结构生成和使用XPLOR-NIH的模拟退火相结合,以生成和/或优化蛋白质坐标。GeNMR极大地简化了蛋白质结构测定的任务,因为用户无需安装或熟悉复杂的独立程序或晦涩的格式转换实用程序。对来自生物磁谱库的90种蛋白质样本进行的测试表明,无论核磁共振输入数据的类型如何,GeNMR都能为所有蛋白质查询生成高质量的模型。开发GeNMR是为了通过核磁共振光谱法促进蛋白质结构的快速、用户友好型结构测定。可通过http://www.genmr.ca访问GeNMR。