ArticleJournal of biomolecular NMR2019
Joint X-ray/NMR structure refinement of multidomain/multisubunit systems.
Article in Journal of biomolecular NMR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Probing Solution Dynamics of Tissue Factor Using Molecular Dynamics Simulations Guided by NMR Chemical Shifts.The journal of physical chemistry. B · 2026Article
- Solution Domain Dynamics of Monomeric SARS-CoV‑2 Main Protease Revealed by Optimized NMR Residual Dipolar Coupling Measurements.ACS physical chemistry Au · 2026Article
- Article
- Characterizing conformational ensembles of multi-domain proteins using anisotropic paramagnetic NMR restraints.Biophysical reviews · 2022Review
- An Integrative Approach to Determine 3D Protein Structures Using Sparse Paramagnetic NMR Data and Physical Modeling.Frontiers in molecular biosciences · 2021Article
- The Photocatalyzed Thiol-ene reaction: A New Tag to Yield Fast, Selective and reversible Paramagnetic Tagging of Proteins.Chemphyschem : a European journal of chemical physics and physical chemistry · 2020Article
- Assessing Structural Preferences of Unstructured Protein Regions by NMR.Biophysical journal · 2019Article
- Integrative Approaches in Structural Biology: A More Complete Picture from the Combination of Individual Techniques.Biomolecules · 2019Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
Data integration in structural biology has become a paradigm for the characterization of biomolecular systems, and it is now accepted that combining different techniques can fill the gaps in each other's blind spots. In this frame, one of the combinations, which we have implemented in REFMAC-NMR, is residual dipolar couplings from NMR together with experimental data from X-ray diffraction. The first are exquisitely sensitive to the local details but does not give any information about overall shape, whereas the latter encodes more the information about the overall shape but at the same time tends to miss the local details even at the highest resolutions. Once crystals are obtained, it is often rather easy to obtain a complete X-ray dataset, however it is time-consuming to obtain an exhaustive NMR dataset. Here, we discuss the effect of including a-priori knowledge on the properties of the system to reduce the number of experimental data needed to obtain a more complete picture. We thus introduce a set of new features of REFMAC-NMR that allow for improved handling of RDC data for multidomain proteins and multisubunit biomolecular complexes, and encompasses the use of pseudo-contact shifts as an additional source of NMR-based information. The new feature may either help in improving the refinement, or assist in spotting differences between the crystal and the solution data. We show three different examples where NMR and X-ray data can be reconciled to a unique structural model without invoking mobility.
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