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Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

1.3K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
1.3K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

647
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
647
¹H NMR of Labile Protons: Deuterium (²H) Substitution00:48

¹H NMR of Labile Protons: Deuterium (²H) Substitution

876
This lesson illustrates the role of deuterium substitution in simplifying the NMR spectrum of compounds comprising labile protons. One method employed is the use of deuterium. Amongst the three isotopes of hydrogen, deuterium (2H) has a nucleus composed of one proton and one neutron. When the D2O solvent is added to a pure dry ethanol solution, its labile proton is substituted with deuterium.
876
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

159
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
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Updated: Jun 9, 2025

A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes
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A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes

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Computational Tools for Hydrogen-Deuterium Exchange Mass Spectrometry Data Analysis.

Michele Stofella1,2, Antonio Grimaldi3, Jochem H Smit4

  • 1School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, LS2 9JT Leeds, United Kingdom.

Chemical Reviews
|October 31, 2024
PubMed
Summary
This summary is machine-generated.

Hydrogen-deuterium exchange mass spectrometry (HDX-MS) analyzes protein structure and dynamics. This review examines computational tools for automating HDX-MS data analysis, comparing their strengths and weaknesses.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Analytical Chemistry

Background:

  • Hydrogen-deuterium exchange (HDX) coupled with mass spectrometry (MS) is crucial for studying protein structure and dynamics.
  • HDX-MS applications are expanding in academic and industrial research.
  • The increasing data volume necessitates advanced computational tools for analysis.

Purpose of the Study:

  • To provide a comprehensive review of computational tools for HDX-MS data analysis.
  • To examine the diverse strategies employed by software for automated peptide identification and data interpretation.
  • To evaluate the merits and drawbacks of various algorithms for enhancing HDX-MS data resolution.

Main Methods:

  • Review of existing computational methods for HDX-MS data analysis.
  • Comparison of algorithms for automated peptide searches and identification.
  • Analysis of statistical tests for quantifying exchange pattern differences.
  • Examination of strategies for deconvoluting multimodal peptide behavior.
  • Evaluation of algorithms for increasing HDX-MS data resolution to single-residue level.

Main Results:

  • Numerous computational tools exist for HDX-MS data analysis, each with unique approaches.
  • Methods vary in automated peptide searching, statistical analysis, multimodal deconvolution, and resolution enhancement.
  • Software strategies aim to automate workflows and improve data interpretability.

Conclusions:

  • The choice of computational tools significantly impacts HDX-MS data analysis outcomes.
  • Understanding the strengths and limitations of different software strategies is essential for accurate protein structure and dynamics investigation.
  • Further development in computational methods is needed to fully leverage HDX-MS capabilities.