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用于蛋白质核磁共振结构自动分析的集成平台。

An integrated platform for automated analysis of protein NMR structures.

作者信息

Huang Yuanpeng Janet, Moseley Hunter N B, Baran Michael C, Arrowsmith Cheryl, Powers Robert, Tejero Roberto, Szyperski Thomas, Montelione Gaetano T

机构信息

Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA.

出版信息

Methods Enzymol. 2005;394:111-41. doi: 10.1016/S0076-6879(05)94005-6.

Abstract

Recent developments provide automated analysis of NMR assignments and three-dimensional (3D) structures of proteins. These approaches are generally applicable to proteins ranging from about 50 to 150 amino acids. In this chapter, we summarize progress by the Northeast Structural Genomics Consortium in standardizing the NMR data collection process for protein structure determination and in building an integrated platform for automated protein NMR structure analysis. Our integrated platform includes the following principal steps: (1) standardized NMR data collection, (2) standardized data processing (including spectral referencing and Fourier transformation), (3) automated peak picking and peak list editing, (4) automated analysis of resonance assignments, (5) automated analysis of NOESY data together with 3D structure determination, and (6) methods for protein structure validation. In particular, the software AutoStructure for automated NOESY data analysis is described in this chapter, together with a discussion of practical considerations for its use in high-throughput structure production efforts. The critical area of data quality assessment has evolved significantly over the past few years and involves evaluation of both intermediate and final peak lists, resonance assignments, and structural information derived from the NMR data. Methods for quality control of each of the major automated analysis steps in our platform are also discussed. Despite significant remaining challenges, when good quality data are available, automated analysis of protein NMR assignments and structures with this platform is both fast and reliable.

摘要

最近的进展实现了对蛋白质核磁共振(NMR)归属及三维(3D)结构的自动化分析。这些方法通常适用于含大约50至150个氨基酸的蛋白质。在本章中,我们总结了东北结构基因组学联盟在标准化用于蛋白质结构测定的NMR数据收集过程以及构建用于蛋白质NMR结构自动化分析的集成平台方面所取得的进展。我们的集成平台包括以下主要步骤:(1)标准化NMR数据收集,(2)标准化数据处理(包括光谱校正和傅里叶变换),(3)自动峰挑选和峰列表编辑,(4)共振归属的自动分析,(5)结合3D结构测定对NOESY数据进行自动分析,以及(6)蛋白质结构验证方法。特别是,本章描述了用于自动分析NOESY数据的软件AutoStructure,并讨论了在高通量结构生成工作中使用该软件的实际注意事项。在过去几年中,数据质量评估的关键领域有了显著发展,涉及对中间和最终峰列表、共振归属以及从NMR数据得出的结构信息的评估。我们还讨论了平台中每个主要自动化分析步骤的质量控制方法。尽管仍存在重大挑战,但当有高质量数据可用时,使用该平台对蛋白质NMR归属和结构进行自动化分析既快速又可靠。

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