SAGA: rapid automatic mainchain NMR assignment for large proteins
 

Abstract Here we describe a new algorithm for automatically determining the mainchain sequential assignment of NMR spectra for proteins. Using only the customary triple resonance experiments, assignments can be quickly found for not only small proteins having rather complete data, but also for large proteins, even when only half the residues can be assigned. The result of the calculation is not the single best assignment according to some criterion, but rather a large number of satisfactory assignments that are summarized in such a way as to help the user identify portions of the sequence that are assigned with confidence, vs. other portions where the assignment has some correlated alternatives. Thus very imperfect initial data can be used to suggest future experiments.

• Content Type Journal Article
• DOI 10.1007/s10858-010-9403-2
• Authors
  • Gordon M. Crippen, University of Michigan College of Pharmacy Ann Arbor MI 48109 USA
  • Aikaterini Rousaki, University of Michigan LSA Biophysics Ann Arbor MI 48109 USA
  • Matthew Revington, University of Michigan LSA Biophysics Ann Arbor MI 48109 USA
  • Yongbo Zhang, University of Michigan LSA Biophysics Ann Arbor MI 48109 USA
  • Erik R. P. Zuiderweg, University of Michigan Medical School Department of Biological Chemistry Ann Arbor MI 48109 USA

• • Journal Journal of Biomolecular NMR
  • Online ISSN 1573-5001
  • Print ISSN 0925-2738
  • Journal Volume Volume 46
  • Journal Issue Volume 46, Number 4

Source: Journal of Biomolecular NMR