Berjanskii Mark V, Neal Stephen, Wishart David S
Department of Computing Science, University of Alberta, Edmonton, AB, Canada.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W63-9. doi: 10.1093/nar/gkl341.
Every year between 500 and 1000 peptide and protein structures are determined by NMR and deposited into the Protein Data Bank. However, the process of NMR structure determination continues to be a manually intensive and time-consuming task. One of the most tedious and error-prone aspects of this process involves the determination of torsion angle restraints including phi, psi, omega and chi angles. Most methods require many days of additional experiments, painstaking measurements or complex calculations. Here we wish to describe a web server, called PREDITOR, which greatly accelerates and simplifies this task. PREDITOR accepts sequence and/or chemical shift data as input and generates torsion angle predictions (with predicted errors) for phi, psi, omega and chi-1 angles. PREDITOR combines sequence alignment methods with advanced chemical shift analysis techniques to generate its torsion angle predictions. The method is fast (<40 s per protein) and accurate, with 88% of phi/psi predictions being within 30 degrees of the correct values, 84% of chi-1 predictions being correct and 99.97% of omega angles being correct. PREDITOR is 35 times faster and up to 20% more accurate than any existing method. PREDITOR also provides accurate assessments of the torsion angle errors so that the torsion angle constraints can be readily fed into standard structure refinement programs, such as CNS, XPLOR, AMBER and CYANA. Other unique features to PREDITOR include dihedral angle prediction via PDB structure mapping, automated chemical shift re-referencing (to improve accuracy), prediction of proline cis/trans states and a simple user interface. The PREDITOR website is located at: http://wishart.biology.ualberta.ca/preditor.
每年有500至1000个肽和蛋白质结构通过核磁共振(NMR)确定并存入蛋白质数据库。然而,NMR结构确定过程仍然是一项人工密集且耗时的任务。该过程中最繁琐且容易出错的方面之一涉及扭转角限制的确定,包括φ、ψ、ω和χ角。大多数方法需要进行许多天的额外实验、艰苦的测量或复杂的计算。在此,我们希望介绍一个名为PREDITOR的网络服务器,它极大地加速并简化了这项任务。PREDITOR接受序列和/或化学位移数据作为输入,并生成φ、ψ、ω和χ-1角的扭转角预测(以及预测误差)。PREDITOR将序列比对方法与先进的化学位移分析技术相结合来生成其扭转角预测。该方法速度快(每个蛋白质<40秒)且准确,88%的φ/ψ预测值与正确值相差在30度以内,84%的χ-1预测正确,99.97%的ω角正确。PREDITOR比任何现有方法快35倍,准确性提高多达20%。PREDITOR还能对扭转角误差进行准确评估,以便将扭转角限制轻松输入到标准结构优化程序中,如CNS、XPLOR、AMBER和CYANA。PREDITOR的其他独特功能包括通过PDB结构映射进行二面角预测、自动化学位移重新参照(以提高准确性)、脯氨酸顺/反状态预测以及简单的用户界面。PREDITOR网站位于:http://wishart.biology.ualberta.ca/preditor 。