Skip to main content
Log in

Processing of multi-dimensional NMR data with the new software PROSA

  • Published:
Journal of Biomolecular NMR Aims and scope Submit manuscript


The new program PROSA is an efficient implementation of the common data-processing steps for multi-dimensional NMR spectra. PROSA performs linear prediction, digital filtering, Fourier transformation, automatic phase correction, and baseline correction. High efficiency is achieved by avoiding disk storage of intermediate data and by the absence of any graphics display, which enables calculation in the batch mode and facilitates porting PROSA on a variety of different computer systems; including supercomputers. Furthermore, all time-consuming routines are completely vectorized. The elimination of a graphics display was made possible by the use of a new, reliable automatic phase-correction routine. CPU times for complete processing of a typical heteronuclear three-dimensional NMR data set of a protein vary between less than 1 min on a NEC SX3 supercomputer and 40 min on a Sun-4 computer system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others











nuclear Overhauser enhancement spectroscopy


total correlation spectroscopy


time-proportional phase incrementation




  • Barkhuijsen, H., De Beer, R. and van Ormondt, D. (1987)J. Magn. Reson.,73, 553–557.

    Google Scholar 

  • Bax, A., Clore, G.M. and Gronenborn, A.M. (1990)J. Magn. Reson.,88, 425–431.

    Google Scholar 

  • Bax, A., Ikura, M., Kay, L.E. and Zhu, G. (1991)J. Magn. Reson.,91, 174–178.

    Google Scholar 

  • Brown, D.E., Campbell, T.W. and Moore, R.N. (1989)J. Magn. Reson.,85, 15–23.

    Google Scholar 

  • Bruker Analytische Messtechnik GmbH (1991)UXNMR. Messen und Verarbeiten von NMR Daten, Rheinstetten, Germany.

    Google Scholar 

  • Cieslar, C., Clore, G.M. and Gronenborn, A.M. (1988)J. Magn. Reson.,79, 154–157.

    Google Scholar 

  • Clore, G.M. and Gronenborn, A.M. (1991)Prog. NMR Spectrosc.,23, 43–92.

    Google Scholar 

  • Clore, G.M., Kay, L.E., Bax, A. and Gronenborn, A.M. (1991)Biochemistry,30, 12–18.

    PubMed  Google Scholar 

  • DeMarco, A. and Wüthrich, K. (1976)J. Magn. Reson.,24, 201–204.

    Google Scholar 

  • Dietrich, W., Rüdel, C.H. and Neumann, M. (1991)J. Magn. Reson.,91, 1–11.

    Google Scholar 

  • Eccles, C., Güntert, P., Billeter, M. and Wüthrich, K. (1991)J. Biomol. NMR,1, 111–130.

    PubMed  Google Scholar 

  • Ernst, R. R. (1969)J. Magn. Reson.,1, 7–26.

    Google Scholar 

  • Ernst, R. R., Bodenhausen, G. and Wokaun, A. (1987)Principles of Nuclear Magnetic Resonance in One and Two Dimensions, Clarendon Press, Oxford.

    Google Scholar 

  • Fesik, S.W. and Zuiderweg, E.R.P. (1990)Quart. Rev. Biophys.,23, 97–131.

    Google Scholar 

  • Gladden, L.F. and Elliott, S.R. (1986)J. Magn. Reson.,68 383–388.

    Google Scholar 

  • Güntert, P. and Wüthrich, K. (1992)J. Magn. Reson.,96, 403–407.

    Google Scholar 

  • Hare Research Inc. (1991)FELIX User Documentation. Version 2.0, Woodinville, WA, U.S.A.

  • Heuer, A. (1991)J. Magn. Reson.,91, 241–253.

    Google Scholar 

  • Hoffman, R.E., Delaglio, F. and Levy, G.C. (1992)J. Magn. Reson.,98, 231–237.

    Google Scholar 

  • Kay, L.E., Ikura, M., Tschudin, R. and Bax, A. (1990)J. Magn. Reson.,89, 496–514.

    Google Scholar 

  • Kumaresan, R. and Tufts, D.W. (1982)IEEE Trans. Acoust. Speech Signal Process.,30, 833–840.

    Google Scholar 

  • Marion, D. and Bax, A. (1989)J. Magn. Reson.,83, 205–211.

    Google Scholar 

  • Marion, D., Ikura, M., Tschudin, R. and Bax, A. (1989)J. Magn. Reson.,85, 393–399.

    Google Scholar 

  • Marshall, A.G. and Roe, D.C. (1978)Anal. Chem.,50, 756–763.

    Google Scholar 

  • Neff, B.L., Ackerman, J.L. and Waugh, J.S. (1977)J. Magn. Reson.,25, 335–340.

    Google Scholar 

  • Nelson, S.J. and Brown, T.R. (1989)J. Magn. Reson.,84, 95–109.

    Google Scholar 

  • Olejniczak, E.T. and Eaton, H.L. (1990)J. Magn. Reson.,87, 628–632.

    Google Scholar 

  • Otting, G., Widmer, H., Wagner, G. and Wüthrich, K. (1986)J. Magn. Reson.,66, 187–193.

    Google Scholar 

  • Pearson, G.A. (1977)J. Magn. Reson.,27, 265–272.

    Google Scholar 

  • Press, W.H., Flannery, B.P., Teukolsky, S.A. and Vetterling, W.T. (1986)Numerical Recipes: The Art of Scientific Computing, Cambridge University, Press, Cambridge.

    Google Scholar 

  • Stephenson, D.S. (1988)Prog. NMR Spectrosc.,20, 515–626.

    Google Scholar 

  • TRIPOS Associates, Inc. (1992) SYBYL/NMR TRIAD, St. Louis, MG, U.S.A.

  • Wüthrich, K. (1986)NMR of Proteins and Nucleic Acids, Wiley, New York.

    Google Scholar 

  • Wüthrich, K. (1990)J. Biol. Chem.,265, 22059–22062.

    PubMed  Google Scholar 

  • Zhu, G. and Bax, A. (1990)J. Magn. Reson.,90, 405–410.

    Google Scholar 

  • Zuiderweg, E.R.P., Petros, A.M., Fesik, S.W. and Olejniczak, E.T. (1991)J. Am. Chem. Soc.,113, 370–372.

    Google Scholar 

Download references

Author information

Authors and Affiliations


Rights and permissions

Reprints and permissions

About this article

Cite this article

Güntert, P., Dötsch, V., Wider, G. et al. Processing of multi-dimensional NMR data with the new software PROSA. J Biomol NMR 2, 619–629 (1992).

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: