100蛋白质NMR光谱数据集:用于生物分子NMR数据分析的资源
Piotr Klukowski1, Fred F Damberger2, Frédéric H-T Allain2
1Institute of Molecular Physical Science, ETH Zurich, 8093, Zurich, Switzerland. piotr.klukowski@phys.chem.ethz.ch.
Scientific data
|January 4, 2024
概括
这项研究对100种蛋白质的1329个多维核磁共振 (NMR) 光谱进行了归档. 这些初级数据可以复制蛋白质结构,并推进计算NMR分析方法.
科学领域:
- 生物分子NMR光谱学 生物分子NMR光谱学
- 结构生物学 结构生物学
- 计算化学计算化学
背景情况:
- 多维NMR光谱对于蛋白质结构的确定和分析至关重要.
- 主要的NMR光谱数据通常不会公开存档,这阻碍了方法开发和验证.
- 缺乏标准化,可访问的初级数据限制了生物分子核磁共振的可复制性研究.
研究的目的:
- 为了解决缺乏对初级NMR光谱数据的公共存档问题.
- 为100种蛋白质提供多维NMR光谱的标准化数据集.
- 促进NMR数据分析计算方法的开发和客观比较.
主要方法:
- 从100种蛋白质中编制了1329个2 - 4维的NMR光谱.
- 包括相关的参考数据 (化学转移,结构) 和衍生注释 (峰值列表,限制).
- 数据集最初是为基于深度学习的ARTINA光谱分析方法开发的.
主要成果:
- 一个全面的,标准化的初级溶液NMR光谱和相关注释的数据集现在可用.
- 蛋白质结构 (100) 可以从数据集内的实验数据中复制.
- 该数据集使得计算型NMR分析方法的一致和客观比较成为可能.
结论:
- 100蛋白质NMR光谱数据集为生物分子NMR社区提供了宝贵的资源.
- 预计它将大大帮助计算方法的发展,特别是机器学习方法.
- 该倡议旨在促进NMR光谱学研究的可复制性和标准化.
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