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Data for AI-designed NMR spectroscopy RF pulses for fast acquisition at high and ultra-high magnetic fields

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DataCite Commons2023-07-13 更新2025-04-09 收录
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https://hdl.handle.net/11299/254765
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资源简介:
The data contains RF shapes for NMR spectroscopy designed using an evolutionary algorithm and artificial intelligence. These new RF pulses cover significantly broader bandwidths for 1H and 15N nuclei and allow rapid spectra acquisition. We also re-engineered the basic transverse relaxation optimized spectroscopy experiment (RAPID-TROSY) which can enhance the spectral sensitivity of well-folded proteins up to 180 kDa molecular weight.

本数据集包含采用进化算法与人工智能设计的核磁共振波谱(NMR)用射频(Radio Frequency, RF)波形。此类新型射频脉冲可覆盖氢核(¹H)与氮-15核(¹⁵N)的超宽带宽,并支持快速谱图采集。本研究还对基础横向弛豫优化波谱实验(RAPID-TROSY)进行了重构,该实验可将分子量高达180千道尔顿(kDa)的折叠完备蛋白质的波谱灵敏度显著提升。
提供机构:
Data Repository for the University of Minnesota (DRUM)
创建时间:
2023-07-13
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