Abstract
NMR chemical shift predictions based on empirical methods are nowadays indispensable tools during resonance assignment and 3D structure calculation of proteins. However, owing to the very limited statistical data basis, such methods are still in their infancy in the field of nucleic acids, especially when non-canonical structures and nucleic acid complexes are considered. Here, we present an ab initio approach for predicting proton chemical shifts of arbitrary nucleic acid structures based on state-of-the-art fragment-based quantum chemical calculations. We tested our prediction method on a diverse set of nucleic acid structures including double-stranded DNA, hairpins, DNA/protein complexes and chemically-modified DNA. Overall, our quantum chemical calculations yield highly/very accurate predictions with mean absolute deviations of 0.3–0.6 ppm and correlation coefficients (r2) usually above 0.9. This will allow for identifying misassignments and validating 3D structures. Furthermore, our calculations reveal that chemical shifts of protons involved in hydrogen bonding are predicted significantly less accurately. This is in part caused by insufficient inclusion of solvation effects. However, it also points toward shortcomings of current force fields used for structure determination of nucleic acids. Our quantum chemical calculations could therefore provide input for force field optimization.
Highlights
Nuclear magnetic resonance (NMR) chemical shifts are highly sensitive probes for the structural features around the corresponding nuclei and in this way for the conformations of biological macromolecules like proteins and nucleic acids
NMR structure determination of these molecules suffers from the scarcity of accessible nuclear Overhauser effect (NOE) derived distance constraints and the complicated interpretation of these few constraints caused by the high degree of flexibility especially in RNA [34]
As described in the introduction, the goal of this study was to evaluate the state of the art of ab initio NMR chemical shift prediction of nucleic acids using a large set of test examples including canonical and non-canonical structures
Summary
Nuclear magnetic resonance (NMR) chemical shifts are highly sensitive probes for the structural features around the corresponding nuclei and in this way for the conformations of biological macromolecules like proteins and nucleic acids. Quantum chemical calculations on small test systems like mono-nucleotides, tri-nucleotides or base pairs showed that sugar ring puckering [35,36,37,38,39], exocyclic and glycosidic torsions [37,38,40], hydrogen bonds between base pairs [41,42,43] and ring current effects brought about by base stacking [44,45,46,47] have a profound influence on the chemical shifts These can be used to predict structural features [46,47,48,49,50,51]. The NUCHEMICS approach [46] is used e.g. together with the method of Altona et al [48] for a web server predicting chemical shifts of B-helices [49] and in NMR-guided structure optimization/determination based on molecular dynamics [34] or the Rosetta approach (CS-Rosetta-RNA) [52]
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