Guerry Paul, Herrmann Torsten
Centre Européen de RMN à très Hauts Champs, Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS, Université Claude, Villeurbanne, France.
Methods Mol Biol. 2012;831:429-51. doi: 10.1007/978-1-61779-480-3_22.
This chapter gives an overview of automated protein structure determination by nuclear magnetic resonance (NMR) with the UNIO protocol that enables high to full automation of all NMR data analysis steps involved. Four established algorithms, namely, the MATCH algorithm for sequence-specific resonance assignment, the ASCAN algorithm for side-chain resonance assignment, the CANDID algorithm for NOE assignment, and the ATNOS algorithm for signal identification in NMR spectra, are assembled into three principal UNIO NMR data analysis components (MATCH, ATNOS/ASCAN, and ATNOS/CANDID) that are accessed thanks to a particularly intuitive and flexible, yet powerful graphical user interface (GUI). UNIO is designed to work independently or in association with other NMR software. The principal data analysis components for sequence-specific backbone, side-chain and NOE assignment may be run separately or out of sequence. User-intervention at individual stages is encouraged and facilitated by graphical tools included for the preparation, analysis, validation, and subsequent presentation of the NMR structure.
本章概述了利用UNIO协议通过核磁共振(NMR)自动测定蛋白质结构的方法,该协议能够实现所涉及的所有NMR数据分析步骤的高度自动化乃至完全自动化。四种既定算法,即用于序列特异性共振归属的MATCH算法、用于侧链共振归属的ASCAN算法、用于NOE归属的CANDID算法以及用于NMR谱信号识别的ATNOS算法,被整合到三个主要的UNIO NMR数据分析组件(MATCH、ATNOS/ASCAN和ATNOS/CANDID)中,借助一个特别直观、灵活且功能强大的图形用户界面(GUI)来访问这些组件。UNIO设计为可独立运行或与其他NMR软件联合运行。用于序列特异性主链、侧链和NOE归属的主要数据分析组件可以单独运行,也可以不按顺序运行。通过为NMR结构的制备、分析、验证及后续展示所包含的图形工具,鼓励并便于用户在各个阶段进行干预。