把现代核磁共振定性定量分析的实践与理论基础联系起来

IF 3.3 2区 生物学 Q2 CHEMISTRY, MEDICINAL
Lucy Botros, Yang Liu*, Charlotte Corbett, Dan Sørensen, Christina Szabo, Anton Bzhelyansky, Matthias Niemitz, Petrus Korhonen, Guido F. Pauli, Patrick Giraudeau and G. Joseph Ray*, 
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引用次数: 0

摘要

本展望旨在重新连接当前核磁共振(NMR)光谱在化学结构和定量(qNMR)分析中的实践,其根源在于经典物理学和量子力学(QM)。该方法的基本原理从多个角度得到,包括对核共振现象关键参数的重点综述,核磁共振波谱结构信息的丰富性,以及计算和光谱仪硬件方面的重大进展。这为计算量子力学光谱分析(QMSA)重新融入当代核磁共振光谱解释实践提供了集体推理。利用QM作为核磁共振的基础参考点,将操作员依赖的视觉表型与QM驱动的计算基因型分析重新捆绑在一起,可以获得更客观和准确的信息。强大的复合基因分型计算工具是可用的,并迅速向自动化方向发展。除了提高新化合物和已知化合物结构解析的严谨性和可重复性外,QM锚定还可以有效地解决峰重叠问题,从而在qNMR和低场/台式NMR分析中带来好处。此外,对常见定义和文献实践的研究表明,核磁共振术语的进化调和有助于解决歧义:从表型峰值焦点转向基于基因型qm的模式分析,不仅是在可重复地交流天然产物和其他分子结构时的合乎逻辑的下一步,而且是一种及时的方法,因为它为生物医学相关分子的不断发展的知识库产生了qmsa验证的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Connecting the Practice of Modern Qualitative and Quantitative NMR Analysis with Its Theoretical Foundation

This Perspective seeks to reconnect the current practice of nuclear magnetic resonance (NMR) spectroscopy in chemical structure and quantitative (qNMR) analysis with its roots in classical physics and quantum mechanics (QM). Rationales for this approach are derived from various angles, including focused reviews of the key parameters of the nuclear resonance phenomenon, the structural information richness of NMR spectra, and significant progress in both computational and spectrometer hardware. This provides collective reasoning for the reintegration of computational quantum mechanical spectral analysis (QMSA) into the contemporary practice of NMR spectral interpretation. Retethering operator-dependent visual phenotypic with QM-driven computational genotypic analysis yields more objective and accurate information by taking advantage of QM as the foundational reference point for NMR. Powerful computational tools for compound genotyping are available and evolve rapidly toward automation. In addition to enhancing the rigor and reproducibility of structure elucidation of new and the dereplication of known compounds, QM anchoring enables competent resolution of peak overlap, with resulting benefits in qNMR and low-field/benchtop NMR analysis. Furthermore, examination of common definitions and documentation practices shows that an evolutionary reconciliation of NMR terminology helps resolve ambiguities: shifting from phenotypic peak focus to genotypic QM-based pattern analysis is not only the logical next step when communicating structures of natural products and other molecules reproducibly but also a timely approach, as it yields QMSA-verified data for evolving knowledge bases for molecules of biomedical relevance.

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来源期刊
CiteScore
9.10
自引率
5.90%
发文量
294
审稿时长
2.3 months
期刊介绍: The Journal of Natural Products invites and publishes papers that make substantial and scholarly contributions to the area of natural products research. Contributions may relate to the chemistry and/or biochemistry of naturally occurring compounds or the biology of living systems from which they are obtained. Specifically, there may be articles that describe secondary metabolites of microorganisms, including antibiotics and mycotoxins; physiologically active compounds from terrestrial and marine plants and animals; biochemical studies, including biosynthesis and microbiological transformations; fermentation and plant tissue culture; the isolation, structure elucidation, and chemical synthesis of novel compounds from nature; and the pharmacology of compounds of natural origin. When new compounds are reported, manuscripts describing their biological activity are much preferred. Specifically, there may be articles that describe secondary metabolites of microorganisms, including antibiotics and mycotoxins; physiologically active compounds from terrestrial and marine plants and animals; biochemical studies, including biosynthesis and microbiological transformations; fermentation and plant tissue culture; the isolation, structure elucidation, and chemical synthesis of novel compounds from nature; and the pharmacology of compounds of natural origin.
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