Abstract

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the three primary experimental means of characterizing macromolecular structures, including protein structures. Structure determination by solution 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 from Residual Dipolar Couplings (RDCs) is relatively less well developed. Here, we describe the new features of the protein structure modeling program REDCRAFT and focus on the new Adaptive Decimation (AD) feature. The AD plays a critical role in improving the robustness of REDCRAFT to missing or noisy data, while allowing structure determination of larger proteins from less data. In this report we demonstrate the successful application of REDCRAFT in structure determination of proteins ranging in size from 50 to 145 residues using experimentally collected data, and of larger proteins (145 to 573 residues) using simulated RDC data. In both cases, REDCRAFT uses only RDC data that can be collected from perdeuterated proteins. Finally, we compare the accuracy of structure determination from RDCs alone with traditional NOE-based methods for the structurally novel PF.2048.1 protein. The RDC-based structure of PF.2048.1 exhibited 1.0 Å BB-RMSD with respect to a high-quality NOE-based structure. Although optimal strategies would include using RDC data together with chemical shift, NOE, and other NMR data, these studies provide proof-of-principle for robust structure determination of largely-perdeuterated proteins from RDC data alone using REDCRAFT.

Highlights

  • Nuclear Magnetic Resonance Spectroscopy is a well-recognized and utilized approach to structure determination of macromolecules, including proteins

  • Given all the advantages associated with the study of proteins from Residual Dipolar Couplings (RDCs) data, based on the statistics provided by the Protein Databank (PDB), surprisingly only 124 proteins have utilized RDCs as part of their structure determination

  • 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

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Summary

Introduction

Nuclear Magnetic Resonance Spectroscopy is a well-recognized and utilized approach to structure determination of macromolecules, including proteins. Most methods of NMR data analysis rely on a combination of Simulated Annealing [4,5], Gradient Descent [4,5], and/ or Monte Carlo sampling [4,5] to guide protein structure calculations in satisfying the experimental constraints. The structure of the target protein is computed by deploying a combination of restrained Monte Carlo, molecular dynamics, and/or Gradient Descent optimization routines. This combination of heterogeneous data and optimization techniques with well documented limitations [4,7] has resulted in an inflated requirement for experimental data. The functional consequence of this process of protein structure determination has manifested itself as inflated data acquisition time and cost of structure determination, while functionally limiting the upper boundary in the size of the proteins that can be studied by NMR spectroscopy

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