AutoLink: Automated sequential resonance assignment of biopolymers from NMR data by relative-hypothesis-prioritization-based simulated logic
AutoLink: Automated sequential resonance assignment of biopolymers from NMR data by relative-hypothesis-prioritization-based simulated logic
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DOI：
10.1016/j.jmr.2005.01.017
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发表时间：
2005-05-01
影响因子：
2.2
通讯作者：
Keller, R
中科院分区：
文献类型：
--
作者：
Masse, JE;Keller, R
我们已经开发了一种新的计算机算法，用于确定生物聚合物的骨架共振分配。我们采取的方法（相对假设优先级排序）是作为Lua程序实现的，该程序与最近开发的计算机辅助谐振分配（CARA）程序接口。我们的程序几乎可以处理任何光谱类型，尤其适用于NOESY数据。程序的结果以易于阅读、颜色编码的图形表示形式显示，允许用户在几分钟内评估结果的质量。在这里，我们报告的应用程序的两个RNA识别模体的Apobec-1互补因子。这些域的分配证明了AutoLink能够以最少的数据和最少的用户干预提供准确的谐振分配。(c)2005年爱思唯尔公司All rights reserved.
We have developed a new computer algorithm for determining the backbone resonance assignments for biopolymers. The approach we have taken, relative hypothesis prioritization, is implemented as a Lua program interfaced to the recently developed computer-aided resonance assignment (CARA) program. Our program can work with virtually any spectrum type, and is especially good with NOESY data. The results of the program are displayed in an easy-to-read, color-coded, graphic representation, allowing users to assess the quality of the results in minutes. Here we report the application of the program to two RNA recognition motifs of Apobec-1 Complementation Factor. The assignment of these domains demonstrates AutoLink's ability to deliver accurate resonance assignments from very minimal data and with minimal user intervention. (c) 2005 Elsevier Inc. All rights reserved.