CANDID: Difference between revisions

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* A new, entirely probability-based automated NOESY assignment algorithm has replaced CANDID in CYANA from version 2.0 onwards. CANDID is part of the program CYANA 1.0.
* A new, entirely probability-based automated NOESY assignment algorithm has replaced CANDID in CYANA from version 2.0 onwards. CANDID is part of the program CYANA 1.0.


* A different, stand-alone version of CANDID has been developed and is available from Torsten Herrmann.
* A different, stand-alone version of CANDID has been developed and is [http://perso.ens-lyon.fr/torsten.herrmann/Herrmann/Software.html available] from [http://perso.ens-lyon.fr/torsten.herrmann/ Torsten Herrmann].


== References ==
== References ==


* Herrmann, T., Güntert, P. & Wüthrich, K. Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA. [http://dx.doi.org/10.1016/S0022-2836(02)00241-3 J. Mol. Biol. 319, 209–227 (2002)]
* Herrmann, T., Güntert, P. & Wüthrich, K. Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA. [http://dx.doi.org/10.1016/S0022-2836(02)00241-3 J. Mol. Biol. 319, 209–227 (2002)]

Revision as of 12:44, 8 December 2008

Combined automated NOE assignment and structure determination module

CANDID is an algorithm for the automated assignment of NOESY spectra. Once nearly complete sequence-specific resonance assignments are available, the automated CANDID approach greatly enhances the efficiency of NOESY spectral analysis.

CANDID was written by Torsten Herrmann and Peter Güntert.

Availability

  • A new, entirely probability-based automated NOESY assignment algorithm has replaced CANDID in CYANA from version 2.0 onwards. CANDID is part of the program CYANA 1.0.

References

  • Herrmann, T., Güntert, P. & Wüthrich, K. Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA. J. Mol. Biol. 319, 209–227 (2002)