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Influence of the completeness of chemical shift assignments on NMR structures obtained with automated NOE assignment

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Journal of Structural and Functional Genomics

Abstract

Reliable automated NOE assignment and structure calculation on the basis of a largely complete, assigned input chemical shift list and a list of unassigned NOESY cross peaks has recently become feasible for routine NMR protein structure calculation and has been shown to yield results that are equivalent to those of the conventional, manual approach. However, these algorithms rely on the availability of a virtually complete list of the chemical shifts. This paper investigates the influence of incomplete chemical shift assignments on the reliability of NMR structures obtained with automated NOESY cross peak assignment. The program CYANA was used for combined automated NOESY assignment with the CANDID algorithm and structure calculations with torsion angle dynamics at various degrees of completeness of the chemical shift assignment which was simulated by random omission of entries in the experimental 1H chemical shift lists that had been used for the earlier, conventional structure determinations of two proteins. Sets of structure calculations were performed choosing the omitted chemical shifts randomly among all assigned hydrogen atoms, or among aromatic hydrogen atoms. For comparison, automated NOESY assignment and structure calculations were performed with the complete experimental chemical shift but under random omission of NOESY cross peaks. When heteronuclear-resolved three-dimensional NOESY spectra are available the current CANDID algorithm yields in the absence of up to about 10% of the experimental 1H chemical shifts reliable NOE assignments and three-dimensional structures that deviate by less than 2 Å from the reference structure obtained using all experimental chemical shift assignments. In contrast, the algorithm can accommodate the omission of up to 50% of the cross peaks in heteronuclear- resolved NOESY spectra without producing structures with a RMSD of more than 2 Å to the reference structure. When only homonuclear NOESY spectra are available, the algorithm is slightly more susceptible to missing data and can tolerate the absence of up to about 7% of the experimental 1H chemical shifts or of up to 30% of the NOESY peaks.

Abbreviations: BmPBPA – Bombyx mori pheromone binding protein form A; CYANA – combined assignment and dynamics algorithm for NMR applications; NMR – nuclear magnetic resonance; NOE – nuclear Overhauser effect; NOESY – NOE spectroscopy; RMSD – root-mean-square deviation; WmKT – Williopsis mrakii killer toxin

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References

  1. Moseley, H. N. B. and Montelione, G. T. (1999) Curr. Opin. Struct. Biol. 9, 635–642.

    Google Scholar 

  2. Prestegard J. H., Valafar, H., Glushka, J. and Tian, F. (2001) Biochemistry 31, 8677-8685

    Google Scholar 

  3. Montelione, G. T., Zheng, D., Huang, Y. J., Gunsalus, K. C. and Szyperski, T. (2000) Nat. Struct. Biol. 7, 982-985.

    Google Scholar 

  4. Mumenthaler, C. and Braun, W. (1995) J. Mol. Biol. 254 465–480.

    Google Scholar 

  5. Mumenthaler, C., Güntert, P., Braun, W. and Wüthrich, K. (1997) J. Biomol. NMR 10 351–362.

    Google Scholar 

  6. Nilges, M., Macias, M. J., O'Donoghue, S. I. and Oschkinat, H. (1997) J. Mol. Biol. 269, 408–422.

    Google Scholar 

  7. Linge, J. P., O'Donoghue, S. I. and Nilges, M. (2001) Meth. Enzymol. 339, 71–90.

    Google Scholar 

  8. Savarin, P., Zinn-Justin, S. and Gilquin, B. (2001) J. Biomol. NMR 19, 49–62.

    Google Scholar 

  9. Herrmann, T., Güntert, P. and Wüthrich, K. (2002) J. Mol. Biol. 319, 209–227.

    Google Scholar 

  10. Greenfield, N. J., Huang, Y. J., Palm, T., Swapna, G. V. T., Monleon, D., Montelione, G. T. and Hitchcock-DeGregori, S. E. (2001) J. Mol. Biol. 312, 833–847.

    Google Scholar 

  11. Güntert, P., Mumenthaler, C. and Wüthrich, K. (1997) J. Mol. Biol. 273, 283–298.

    Google Scholar 

  12. Horst, R., Damberger, F., Luginbühl, P., Güntert, P., Peng, G., Nikonova, L., Leal, W. S. and Wüthrich, K. (2001) Proc. Natl. Acad. Sci. USA 98, 14374–14379.

    Google Scholar 

  13. Antuch, W., Güntert, P. and Wüthrich, K. (1996) Nat. Struct. Biol. 3, 662–665.

    Google Scholar 

  14. Güntert, P. (1998) Q. Rev. Biophys. 31, 145–237.

    Google Scholar 

  15. Güntert, P., Braun, W. and Wüthrich, K. (1991) J. Mol. Biol. 217, 517–530.

    Google Scholar 

  16. Koradi, R., Billeter, M. and Wüthrich, K. (1996). J. Mol. Graph. 14, 51–55.

    Google Scholar 

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Jee, J., Güntert, P. Influence of the completeness of chemical shift assignments on NMR structures obtained with automated NOE assignment. J Struct Func Genom 4, 179–189 (2003). https://doi.org/10.1023/A:1026122726574

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