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Protein Organization01:24

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Related Experiment Video

Updated: Mar 24, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
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How to tackle protein structural data from solution and solid state: An integrated approach.

Azzurra Carlon1, Enrico Ravera1, Witold Andrałojć1

  • 1Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Italy(1).

Progress in Nuclear Magnetic Resonance Spectroscopy
|March 9, 2016
PubMed
Summary
This summary is machine-generated.

This study modifies REFMAC5 to integrate X-ray crystallography with solution Nuclear Magnetic Resonance (NMR) data. This allows for more accurate macromolecular structures by validating crystal models with NMR restraints.

Keywords:
Integrated structural biologyParamagnetic restraintsPseudo-contact shiftsResidual dipolar couplingsStructural refinement

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Macromolecular structures determined by X-ray crystallography may differ from their solution state due to crystal packing forces.
  • Nuclear Magnetic Resonance (NMR) restraints, including residual dipolar couplings and paramagnetic data, offer insights into macromolecular structures in solution.
  • Validating crystal structures with solution NMR data is crucial for accurate structural representation.

Purpose of the Study:

  • To develop a computational method for the simultaneous refinement of macromolecular structures using both X-ray crystallographic and solution NMR data.
  • To assess and potentially correct discrepancies between crystal and solution structures.
  • To improve the accuracy of macromolecular structure determination in solution.

Main Methods:

  • Modification of the REFMAC5 program (from CCP4) to incorporate paramagnetic NMR data and/or diamagnetic residual dipolar couplings alongside X-ray crystallographic data.
  • Simultaneous refinement of macromolecular structures using integrated datasets.
  • Analysis of inconsistencies arising from the transition between solution and solid states.

Main Results:

  • The modified REFMAC5 program enables the simultaneous use of X-ray and NMR data for structural refinement.
  • Identified potential discrepancies between crystal and solution structures, attributed to crystal packing or conformational heterogeneity.
  • Demonstrated the utility of paramagnetic restraints for determining domain orientations and conformational variability in multidomain proteins.

Conclusions:

  • Simultaneous refinement using both X-ray and NMR data provides a more accurate picture of macromolecular structures in solution.
  • The approach helps to identify and understand structural differences between crystal and solution states.
  • This method enhances the structural characterization of macromolecules, particularly multidomain proteins, in their native-like solution environment.