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ChemBioChem
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Other literature type . 2025
License: CC BY
Data sources: PubMed Central
ChemBioChem
Article . 2025
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Probing Biomolecular Interactions with Paramagnetic Nuclear Magnetic Resonance Spectroscopy

Authors: Hannah Busch; Muhammad Yasir Ateeque; Florian Taube; Thomas Wiegand; Björn Corzilius; Georg Künze;

Probing Biomolecular Interactions with Paramagnetic Nuclear Magnetic Resonance Spectroscopy

Abstract

AbstractRecent advances in computational methods like AlphaFold have transformed structural biology, enabling accurate modeling of protein complexes and driving applications in drug discovery and protein engineering. However, predicting the structure of systems involving weak, transient, or dynamic interactions, or of complexes with disordered regions, remains challenging. Nuclear Magnetic Resonance (NMR) spectroscopy offers atomic‐level insights into biomolecular complexes, even in weakly interacting and dynamic systems. Paramagnetic NMR, in particular, provides long‐range structural restraints, easily exceeding distances over 25 Å, making it ideal for studying large protein complexes. Advances in chemical tools for introducing paramagnetic tags into proteins, combined with progress in electron paramagnetic resonance (EPR) spectroscopy, have enhanced the method's utility. This perspective article discusses paramagnetic NMR approaches for analyzing biomolecular complexes in solution and in the solid state, emphasizing quantities like pseudocontact shifts, residual dipolar couplings, and paramagnetic relaxation enhancements. Additionally, dynamic nuclear polarization offers a promising method to amplify NMR signals of large complexes, even in complex environments. The integration of AlphaFold protein structure prediction with paramagnetic NMR holds great potential for advancing our understanding of biomolecular interactions.

Keywords

Models, Molecular, Protein Conformation, Perspective, Electron Spin Resonance Spectroscopy, Proteins, Nuclear Magnetic Resonance, Biomolecular

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid