SESAME: A least-squares approach to the evaluation of protein structures computed from NMR data |
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Authors: | Ju-xing Yang T. F. Havel |
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Affiliation: | (1) Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 02115 Boston, MA, USA |
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Abstract: | Summary A method is proposed for defining a probability distribution on an ensemble of protein conformations from a 2D NOE spectrum, while at the same time back-calculating the experimental spectrum from the ensemble. This enables one to assess the relative quality and significance of the conformations, and to test the consistency of the ensemble as a whole with the experimental spectrum. The method eliminates the need to integrate the cross-peak intensities and is surprisingly insensitive to random noise in the spectrum. In this communication, these advantages are demonstrated by applying the method to simulated data, for which the correct result is already known.Abbreviations NOE nuclear Overhauser effect - BPTI basic pancreatic trypsin inhibitor - rmsd root-mean-square deviation |
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Keywords: | Protein structure Nuclear magnetic resonance Nuclear Overhauser effect Structure refinement |
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