Verdegem Dries, Dijkstra Klaas, Hanoulle Xavier, Lippens Guy
Unité de Glycobiologie Structurale et Fonctionelle, UMR 8576 CNRS, IFR 147, Université des Sciences et Technologies de Lille, 59655, Villeneuve d'Ascq, France.
J Biomol NMR. 2008 Sep;42(1):11-21. doi: 10.1007/s10858-008-9262-2. Epub 2008 Sep 2.
We have developed a graphics based algorithm for semi-automated protein NMR assignments. Using the basic sequential triple resonance assignment strategy, the method is inspired by the Boolean operators as it applies "AND"-, "OR"- and "NOT"-like operations on planes pulled out of the classical three-dimensional spectra to obtain its functionality. The method's strength lies in the continuous graphical presentation of the spectra, allowing both a semi-automatic peaklist construction and sequential assignment. We demonstrate here its general use for the case of a folded protein with a well-dispersed spectrum, but equally for a natively unfolded protein where spectral resolution is minimal.
我们开发了一种基于图形的算法,用于半自动蛋白质核磁共振(NMR)归属。该方法采用基本的序列三重共振归属策略,受布尔运算符启发,通过对从经典三维谱中提取的平面进行类似“与”“或”“非”的操作来实现其功能。该方法的优势在于对谱图进行连续的图形展示,既能够半自动构建峰列表,又能进行序列归属。我们在此展示了该方法对于谱图分散良好的折叠蛋白的一般应用情况,同样也适用于谱分辨率最低的天然未折叠蛋白。