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Related Concept Videos

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

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

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...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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

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...
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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 slanted or...
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

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 axis.

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Related Experiment Video

Updated: May 8, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
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Protein structure validation and identification from unassigned residual dipolar coupling data using 2D-PDPA.

Arjang Fahim1, Rishi Mukhopadhyay, Ryan Yandle

  • 1Department of Computer Science & Engineering, University of South Carolina, Columbia, SC 29208, USA.

Molecules (Basel, Switzerland)
|August 27, 2013
PubMed
Summary

A new method, 2D-PDPA, uses unassigned residual dipolar coupling to efficiently determine protein structures. This approach reduces costs and time for routine protein structure determination, making structural biology more economical.

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Last Updated: May 8, 2026

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Over 90% of protein structures in the Protein Data Bank (PDB) are homologous to known structures.
  • Extensive resources are required for novel protein structure determination, making it uneconomical for routine cases.

Purpose of the Study:

  • To present the 2D-PDPA method for efficient protein structure determination.
  • To reduce data acquisition and processing time for routine protein structure characterization.
  • To address the economic challenges in structural biology.

Main Methods:

  • Utilizing unassigned residual dipolar coupling (RDC) data.
  • Developing and applying the 2D-PDPA algorithm.
  • Testing with simulated and experimental RDC data against decoy structures.
  • Evaluating performance on a previously uncharacterized protein (Pf2048.1).

Main Results:

  • 2D-PDPA successfully identified correct protein structures from decoy libraries using simulated and experimental RDC data.
  • The method accurately determined structures for proteins ranging from 46 to 445 residues.
  • The most homologous X-ray structure was identified as the second-best candidate.
  • 2D-PDPA effectively evaluated computationally predicted structures for an uncharacterized protein with low sequence identity.

Conclusions:

  • The 2D-PDPA method offers an economical solution for routine protein structure determination.
  • This approach significantly reduces the time and resources needed for structural characterization.
  • 2D-PDPA demonstrates practical applicability for identifying and evaluating structures of novel proteins.