De Novo Structure Determination from Residual Dipolar Couplings by NMR Spectroscopy

Author(s):  
Bernd Simon ◽  
Michael Sattler
2020 ◽  
Author(s):  
Casey A. Cole ◽  
Nourhan S. Daigham ◽  
Gaohua Liu ◽  
Gaetano T. Montelione ◽  
Homayoun Valafar

AbstractNuclear Magnetic Resonance (NMR) spectroscopy is one of the two primary experimental means of characterizing macromolecular structures, including protein structures. Structure determination by NMR spectroscopy has traditionally relied heavily on distance restraints derived from nuclear Overhauser effect (NOE) measurements. While structure determination of proteins from NOE-based restraints is well understood and broadly used, structure determination by NOEs imposes increasing quantity of data for analysis, increased cost of structure determination and is less available in the study of perdeuterated proteins. In the recent decade, Residual Dipolar Couplings (RDCs) have been investigated as an alternative source of data for structural elucidation of proteins by NMR. Several methods have been reported that utilize RDCs in addition to NOEs, and a few utilize RDC data alone. While these methods have individually demonstrated some successes, none of these methods have exposed the full potential of protein structure determination from RDCs. To date, structure determination of proteins from RDCs is limited to small proteins (less than 8.5 kDa) using RDC data from many alignment media (>3) that cannot be collected from larger proteins. Here we present the latest version of the REDCRAFT software package designed for structure determination of proteins from RDC data alone. We have demonstrated the success of REDCRAFT in structure determination of proteins ranging in size from 50 to 145 residues using experimentally collected data and large proteins (145 to 573 residues) using simulated RDC data that can be collected from perdeuterated proteins. Finally, we demonstrate the accuracy of structure determination of REDCRAFT from RDCs alone in application to the structurally novel PF.2048 protein. The RDC-based structure of PF.2048 exhibited 1.0 Å of BB-RMSD with respect to the NOE-based structure by only using a small amount of backbone RDCs (∼3 restraints per residue) compared to what is required by other approaches.Author SummaryResidual Dipolar Couplings have the potential to reduce the cost and the time needed to characterize protein structures. In addition, RDC data have been demonstrated to concurrently elucidate structure of proteins, perform assignment of resonances, and be used in characterization of the internal dynamics of proteins. Given all the advantages associated with the study of proteins from RDC data, based on the statistics provided by the Protein Databank (PDB), surprisingly the only 124 proteins (out of nearly 150,000 proteins) have utilized RDCs as part of their structure determination. Even a smaller subset of these proteins (approximately 7) have utilized RDCs as the primary source of data for structure determination. The impeding factor in the use of RDCs is the challenging computational and analytical aspects of this source of data. In this report, we demonstrate the success of the REDCRAFT software package in structure determination of proteins using RDC data that can be collected from small and large proteins in a routine fashion. REDCRAFT accomplishes the challenging task of structure determination from RDCs by introducing a unique search and optimization technique that is both robust and computationally tractable. Structure determination from routinely collectable RDC data using REDCRAFT can lead to faster and cheaper study of larger and more complex proteins by NMR spectroscopy in solution state.


2000 ◽  
Vol 33 (1) ◽  
pp. 29-65 ◽  
Author(s):  
Ann E. Ferentz ◽  
Gerhard Wagner

1. Introduction 292. Landmarks in NMR of macromolecules 322.1 Protein structures and methods development 322.1.1 Sequential assignment method 322.1.2 Triple-resonance experiments 342.1.3 Structures of large proteins 362.2 Protein–nucleic acid complexes 372.3 RNA structures 382.4 Membrane-bound systems 393. NMR spectroscopy today 403.1 State-of-the-art structure determination 413.2 New methods 443.2.1 Residual dipolar couplings 443.2.2 Direct detection of hydrogen bonds 443.2.3 Spin labeling 453.2.4 Segmental labeling 463.3 Protein complexes 473.4 Mobility studies 503.5 Determination of time-dependent structures 523.6 Drug discovery 534. The future of NMR 544.1 The ease of structure determination 544.2 The ease of making recombinant protein 554.3 Post-translationally modified proteins 554.4 Approaches to large and/or membrane-bound proteins 564.5 NMR in structural genomics 564.6 Synergy of NMR and crystallography in protein structure determination 565. Conclusion 576. Acknowledgements 577. References 57Since the publication of the first complete solution structure of a protein in 1985 (Williamson et al. 1985), tremendous technological advances have brought nuclear magnetic resonance spectroscopy to the forefront of structural biology. Innovations in magnet design, electronics, pulse sequences, data analysis, and computational methods have combined to make NMR an extremely powerful technique for studying biological macromolecules at atomic resolution (Clore & Gronenborn, 1998). Most recently, new labeling and pulse techniques have been developed that push the fundamental line-width limit for resolution in NMR spectroscopy, making it possible to obtain high-field spectra with better resolution than ever before (Dötsch & Wagner, 1998). These methods are facilitating the study of systems of ever-increasing complexity and molecular weight.


ChemInform ◽  
2004 ◽  
Vol 35 (45) ◽  
Author(s):  
J. H. Prestegard ◽  
C. M. Bougault ◽  
A. I. Kishore

2009 ◽  
Vol 48 (31) ◽  
pp. 5670-5674 ◽  
Author(s):  
Manuela E. García ◽  
Silvina Pagola ◽  
Armando Navarro-Vázquez ◽  
Damilola D. Phillips ◽  
Chakicherla Gayathri ◽  
...  

2014 ◽  
Vol 12 (01) ◽  
pp. 1450002 ◽  
Author(s):  
RISHI MUKHOPADHYAY ◽  
STEPHANIE IRAUSQUIN ◽  
CHRISTOPHER SCHMIDT ◽  
HOMAYOUN VALAFAR

Residual Dipolar Couplings (RDCs) are a source of NMR data that can provide a powerful set of constraints on the orientation of inter-nuclear vectors, and are quickly becoming a larger part of the experimental toolset for molecular biologists. However, few reliable protocols exist for the determination of protein backbone structures from small sets of RDCs. DynaFold is a new dynamic programming algorithm designed specifically for this task, using minimal sets of RDCs collected in multiple alignment media. DynaFold was first tested utilizing synthetic data generated for the N – H , C α– H α, and C – N vectors of 1BRF, 1F53, 110M, and 3LAY proteins, with up to ±1 Hz error in three alignment media, and was able to produce structures with less than 1.9 Å of the original structures. DynaFold was then tested using experimental data, obtained from the Biological Magnetic Resonance Bank, for proteins PDBID:1P7E and 1D3Z using RDC data from two alignment media. This exercise yielded structures within 1.0 Å of their respective published structures in segments with high data density, and less than 1.9 Å over the entire protein. The same sets of RDC data were also used in comparisons with traditional methods for analysis of RDCs, which failed to match the accuracy of DynaFold's approach to structure determination.


2009 ◽  
Vol 121 (36) ◽  
pp. 6836-6840 ◽  
Author(s):  
Christina M. Thiele ◽  
Volker Schmidts ◽  
Benjamin Böttcher ◽  
Iria Louzao ◽  
Robert Berger ◽  
...  

2014 ◽  
Vol 53 (45) ◽  
pp. 12253-12256 ◽  
Author(s):  
Vipin Agarwal ◽  
Susanne Penzel ◽  
Kathrin Szekely ◽  
Riccardo Cadalbert ◽  
Emilie Testori ◽  
...  

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