Aug 2026· Magnetic Resonance Letters· Vol 7· 0 citations· 85 references
Medicine
TL;DR
The integration of NMR and XL-MS establishes a powerful synergistic framework that bridges atomic-resolution local structures and large-scale interaction topologies, thereby enabling comprehensive characterization of protein dynamic conformations and interaction networks in native environments.
Abstract
Proteins are intrinsically dynamic molecules that continuously explore conformational ensembles to execute biological functions. Conventional structural biology methods rely on in vitro reconstitution of purified components and therefore capture predominantly static snapshots, often overlooking the regulatory roles of the cellular microenvironment, such as molecular crowding, weak interaction networks, and post-translational modifications. This limitation has driven an urgent need to transition from in vitro reconstruction to in vivo characterization within living cells. Nuclear magnetic resonance (NMR) spectroscopy provides atomic-resolution insights into structure and motions spanning multiple timescales, yet its application is constrained by molecular weight limits, isotopic labeling requirements, and inherently low throughput. Cross-linking mass spectrometry (XL-MS) complements NMR by delivering sparse but long-range spatial restraints without an upper molecular weight limit. The integration of NMR and XL-MS establishes a powerful synergistic framework that bridges atomic-resolution local structures and large-scale interaction topologies, thereby enabling comprehensive characterization of protein dynamic conformations and interaction networks in native environments. Here, we review how this integrative strategy advances the understanding of intrinsically disordered proteins, multi-domain proteins, and dynamic protein-protein interaction networks in native cellular environments. We further discuss emerging technological frontiers, including hyperpolarized NMR, photo-cross-linking, organelle-resolved analysis, and artificial intelligence-guided integrative modeling, which together promise to transform our ability to resolve the true functional states of proteins inside cells.
Structural biology is moving beyond the determination of static molecular structures toward quantitative descriptions of biomolecular mechanisms. Modern questions increasingly focus on conformational heterogeneity, exchange kinetics, weak and transient interactions, allostery, disorder, assembly, and phase behavior. Th...
J. Purslow, Vincenzo Venditti· Frontiers in Molecular Biosc...· 0 citations
Together, these tools offer complementary insights into HOS that are reshaping structural biology, biopharmaceutical development and mechanistic studies.
D. Herath, Kaitlyn N. Walls, Ashlyn N. Dollar et al.· In Analysis· 0 citations
This work examines how cryoEM is reshaping RNA structural biology changing focus from the analysis of static structures to dynamic conformational landscapes, and discusses emerging experimental and computational approaches that address and overcome the challenges associated with studying dynamic RNAs, particularly in c...
Shekhar Jadhav, S. Saha, Qing-Bin Shang et al.· 0 citations
Emerging high-throughput strategies to study protein condensation and aggregation at scale are reviewed, emphasizing what they truly measure, their limitations, and how the cross-talk among these complementary approaches can provide a more accurate and mechanistic mapping of sequence-to-assembly relationships.
Mariano Martín, Alice Lissmatz, Benedetta Bolognesi· Current Opinion in Structura...· 0 citations
Intrinsically disordered transcription factors represent a major challenge for chemical biology. Their lack of persistent structure limits both functional interrogation and ligand discovery. Here, we show that intracellular covalent cyclisation can conformationally reprogram the intrinsically disordered c-Myc bHLHZip r...
Rachel A. Johnson, Jody M. Mason· RSC Chemical Biology· 0 citations