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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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NMR Spectrometers: Overview01:20

NMR Spectrometers: Overview

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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...
1.6K
¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

2.8K
The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
2.8K
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

6.2K
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
6.2K
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

1.2K
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.
1.2K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.2K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.2K

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iPick: Multiprocessing software for integrated NMR signal detection and validation.

Mehdi Rahimi1, Yeongjoon Lee1, John L Markley2

  • 1Department of Chemistry, University of Colorado Denver, Denver, CO 80204, USA.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|May 18, 2021
PubMed
Summary
This summary is machine-generated.

iPick is a new software tool for biomolecular Nuclear Magnetic Resonance (NMR) spectroscopy. It offers an intuitive graphical interface and scripting options for efficient and reliable peak picking and validation.

Keywords:
Graphical user interfaceMultidimensional NMR spectroscopyMultiprocessingNMRFAM-SPARKYNoise level calculationPOKYPeak validationPythonSignal recognition

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Area of Science:

  • Biomolecular Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Computational Chemistry
  • Structural Biology

Background:

  • Peak picking is a crucial yet challenging step in analyzing biomolecular NMR spectra.
  • Existing methods may lack user-friendliness or advanced validation features.

Purpose of the Study:

  • To introduce iPick, a novel software tool for interactive and automated peak picking in biomolecular NMR.
  • To enhance the efficiency and reliability of NMR data analysis through user-friendly interfaces and advanced algorithms.

Main Methods:

  • Development of a cross-platform, open-source software with both a graphical user interface (GUI) and a scripting tool.
  • Implementation of multiprocessing for parallel computing to reduce processing time.
  • Integration with popular NMR software like NMRFAM-SPARKY and POKY.
  • Inclusion of automated noise detection, threshold setting, cross-validation, and peak reliability quantification.

Main Results:

  • iPick provides an intuitive GUI requiring no programming skills, alongside a customizable scripting tool for advanced users.
  • Parallel computing significantly reduces processing time on multi-core CPUs.
  • Features like automated noise handling and cross-validation enhance peak picking accuracy and reliability.

Conclusions:

  • iPick offers a versatile and efficient solution for peak picking and validation in biomolecular NMR spectroscopy.
  • The software's accessibility (open-source, cross-platform) and advanced features facilitate broader adoption and improved data analysis in the field.