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NMR-Onion——一种基于透明多模型的一维核磁共振反褶积算法。

NMR-Onion - a transparent multi-model based 1D NMR deconvolution algorithm.

作者信息

Brinks Sørensen Mathies, Riis Andersen Michael, Siewertsen Mette-Maya, Bro Rasmus, Strube Mikael Lenz, Gotfredsen Charlotte Held

机构信息

Department of Chemistry, Technical University of Denmark, Kgs Lyngby, DK-2800, Denmark.

Department of Applied Mathematics and Computer Science, Kgs Lyngby, DK-2800, Denmark.

出版信息

Heliyon. 2024 Aug 30;10(17):e36998. doi: 10.1016/j.heliyon.2024.e36998. eCollection 2024 Sep 15.

DOI:10.1016/j.heliyon.2024.e36998
PMID:39296015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11407975/
Abstract

We introduce NMR-Onion, an open-source, computationally efficient algorithm based on Python and PyTorch, designed to facilitate the automatic deconvolution of 1D NMR spectra. NMR-Onion features two innovative time-domain models capable of handling asymmetric non-Lorentzian line shapes. Its core components for resolution-enhanced peak detection and digital filtering of user-specified key regions ensure precise peak prediction and efficient computation. The NMR-Onion framework includes three built-in statistical models, with automatic selection via the BIC criterion. Additionally, NMR-Onion assesses the repeatability of results by evaluating post-modeling uncertainty. Using the NMR-Onion algorithm helps to minimize excessive peak detection.

摘要

我们介绍了NMR-Onion,这是一种基于Python和PyTorch的开源且计算高效的算法,旨在促进一维核磁共振(NMR)谱的自动去卷积。NMR-Onion具有两个创新的时域模型,能够处理不对称的非洛伦兹线形。其用于分辨率增强的峰检测和用户指定关键区域数字滤波的核心组件确保了精确的峰预测和高效的计算。NMR-Onion框架包括三个内置统计模型,并通过贝叶斯信息准则(BIC)进行自动选择。此外,NMR-Onion通过评估建模后的不确定性来评估结果的可重复性。使用NMR-Onion算法有助于将过多的峰检测降至最低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a9/11407975/158f5d4ad454/gr013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a9/11407975/09815474889e/gr005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a9/11407975/158f5d4ad454/gr013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a9/11407975/09815474889e/gr005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a9/11407975/158f5d4ad454/gr013.jpg

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本文引用的文献

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SAND: Automated Time-Domain Modeling of NMR Spectra Applied to Metabolite Quantification.SAND:应用于代谢物定量的核磁共振波谱自动时域建模
Anal Chem. 2024 Feb 6;96(5):1843-1851. doi: 10.1021/acs.analchem.3c03078. Epub 2024 Jan 25.
2
Improving the accuracy of model-based quantitative nuclear magnetic resonance.提高基于模型的定量核磁共振的准确性。
Magn Reson (Gott). 2020 Jul 2;1(2):141-153. doi: 10.5194/mr-1-141-2020. eCollection 2020.
3
DEEP Picker1D and Voigt Fitter1D: a versatile tool set for the automated quantitative spectral deconvolution of complex 1D-NMR spectra.
深度Picker1D和Voigt拟合器1D:用于复杂一维核磁共振谱自动定量光谱解卷积的通用工具集。
Magn Reson (Gott). 2023 Feb 8;4(1):19-26. doi: 10.5194/mr-4-19-2023. eCollection 2023.
4
Newton meets Ockham: Parameter estimation and model selection of NMR data with NMR-EsPy.牛顿遇见奥卡姆:NMR-EsPy 用于 NMR 数据的参数估计和模型选择。
J Magn Reson. 2022 May;338:107173. doi: 10.1016/j.jmr.2022.107173. Epub 2022 Mar 18.
5
Detection of highly overlapping peaks via adaptive apodization.通过自适应加窗检测高度重叠的峰。
J Magn Reson. 2021 Dec;333:107104. doi: 10.1016/j.jmr.2021.107104. Epub 2021 Nov 5.
6
DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra.DEEP picker 是一种用于准确反卷积复杂二维 NMR 谱的深度神经网络。
Nat Commun. 2021 Sep 1;12(1):5229. doi: 10.1038/s41467-021-25496-5.
7
NMR-Based Metabolomics of Food.基于核磁共振的食品代谢组学
Methods Mol Biol. 2019;2037:335-344. doi: 10.1007/978-1-4939-9690-2_18.
8
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J Magn Reson. 2019 Jan;298:91-100. doi: 10.1016/j.jmr.2018.11.004. Epub 2018 Nov 22.
9
Simplifying the complex: metabolomics approaches in chemical ecology.简化复杂:化学生态学中的代谢组学方法。
Anal Bioanal Chem. 2019 Jan;411(1):13-19. doi: 10.1007/s00216-018-1470-3. Epub 2018 Nov 12.
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