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Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

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Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
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A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
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Aromatic compounds can be identified or analyzed using proton NMR and carbon‐13 NMR. Typically, aromatic hydrogens or hydrogens directly bonded to the aromatic rings are strongly deshielded by the aromatic ring current. Therefore, they absorb in the range of 6.5–8.0 ppm in proton NMR spectra. For instance, aromatic hydrogens directly bonded to the benzene ring absorb at 7.3 ppm. However, aromatic hydrogens of larger rings absorb farther upfield or downfield than the ideal range.
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NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
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NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

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A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
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In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
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Parser Combinators: a Practical Application for Generating Parsers for NMR Data.

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Summary
This summary is machine-generated.

Researchers developed a free, open-source parser for complex NMR-Star files, essential for accessing protein structure data. This tool simplifies data analysis, enabling better use of previous research findings.

Keywords:
JavaNMRNMR-Starcomponentfunctional-programmingparsing

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy provides atomic-resolution data for protein structure determination.
  • Large datasets from NMR studies are stored in the NMR-Star file format.
  • The complexity of NMR-Star files presents challenges for data parsing and utilization.

Purpose of the Study:

  • To develop a robust and accessible method for parsing NMR-Star files.
  • To facilitate the retrieval and application of biological information within NMR datasets.
  • To enable researchers to leverage previous findings for future studies.

Main Methods:

  • Utilized a Backus-Naur Form (BNF) grammar as a high-level model of the NMR-Star format.
  • Applied parser combinators, a technique from functional programming, to automatically generate an executable parser.
  • Implemented the parser in Java, making it widely accessible.

Main Results:

  • Created a free, open-source NMR-Star file parser.
  • Demonstrated the effectiveness of a principled approach to file specification and parsing.
  • The developed parser simplifies access to valuable protein structure data.

Conclusions:

  • The developed parser enhances the accessibility and usability of NMR-derived protein structural data.
  • This work promotes open science by providing open-source tools and methods.
  • The approach offers a scalable solution for managing and analyzing large biological datasets.