An improved, time-efficient approach to extract accurate distance restraints for NMR2 structure calculation
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Published:2022-08-01
Issue:2
Volume:3
Page:137-144
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ISSN:2699-0016
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Container-title:Magnetic Resonance
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language:en
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Short-container-title:Magn. Reson.
Author:
Pokharna Aditya, Torres FelixORCID, Kadavath Harindranath, Orts Julien, Riek Roland
Abstract
Abstract. Exact nuclear Overhauser enhancement (eNOE) yields highly accurate, ensemble averaged 1H–1H distance restraints with an accuracy of up to 0.1 Å for the multi-state structure determination of proteins as well as for nuclear magnetic resonance molecular replacement (NMR2) to determine the structure of the protein–ligand interaction site in a time-efficient manner. However, in the latter application, the acquired eNOEs lack the obtainable precision of 0.1 Å because of the asymmetrical nature of the filtered nuclear Overhauser enhancement spectroscopy (NOESY) experiment used in NMR2. This error is further propagated to the eNOE equations used to fit and extract the distance restraints. In this work, a new analysis method is proposed to obtain inter-molecular distance restraints from the filtered NOESY spectrum more accurately and intuitively by dividing the NOE cross peak by the corresponding diagonal peak of the ligand. The method termed diagonal-normalised eNOEs was tested on the data acquired by Torres et al. (2020) on the complex of PIN1 and a small, weak-binding phenylimidazole fragment. NMR2 calculations performed using the distances derived from diagonal-normalised eNOEs yielded the right orientation of the fragment in the binding pocket and produced a structure that more closely resembles the benchmark X-ray structure (2XP6) (Potter et al., 2010) with an average heavy-atom root-mean-square deviation (RMSD) of 1.681 Å with respect to it, when compared to the one produced with traditional NMR2 with an average heavy atom RMSD of 3.628 Å. This is attributed to the higher precision of the evaluated distance restraints.
Funder
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Publisher
Copernicus GmbH
Reference22 articles.
1. Ashkinadze, D., Kadavath, H., Riek, R., and Güntert, P.: Optimization and validation of multi-state NMR protein structures using structural correlations, J. Biomol. NMR, 76, 39–47,
https://doi.org/10.1007/s10858-022-00392-2, 2022. a 2. Boelens, R., Koning, T. M. G., and Kaptein, R.: Determination of biomolecular
structures from proton-proton NOE's using a relaxation matrix approach,
J. Mol. Struct., 173, 299–311, https://doi.org/10.1016/0022-2860(88)80062-0, 1988. a 3. Güntert, P. and Buchner, L.: Combined automated NOE assignment and structure calculation with CYANA, J. Biomol. NMR, 62, 453–471,
https://doi.org/10.1007/s10858-015-9924-9, 2015. a, b, c, d, e 4. Kalk, A. and Berendsen, H. J. C.: Proton magnetic relaxation and spin diffusion in proteins, J. Magn. Reson., 24, 343–366,
https://doi.org/10.1016/0022-2364(76)90115-3, 1976. a 5. Keepers, J. W. and James, T. L.: A theoretical study of distance determinations from NMR. Two-dimensional nuclear overhauser effect spectra, J. Magn. Reson., 57, 404–426, https://doi.org/10.1016/0022-2364(84)90257-9,
1984.fcro a
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