Validation of archived chemical shifts through atomic coordinates.

TitleValidation of archived chemical shifts through atomic coordinates.
Publication TypeJournal Article
Year of Publication2010
AuthorsRieping, W., and W. F. Vranken
JournalProteins
Volume78
Issue11
Pagination2482-9
Date Published2010 Aug 15
ISSN1097-0134
KeywordsCarbon, Databases, Protein, Hydrogen, Normal Distribution, Nuclear Magnetic Resonance, Biomolecular, Proteins, Protons, Reproducibility of Results
Abstract

The public archives containing protein information in the form of NMR chemical shift data at the BioMagResBank (BMRB) and of 3D structure coordinates at the Protein Data Bank are continuously expanding. The quality of the data contained in these archives, however, varies. The main issue for chemical shift values is that they are determined relative to a reference frequency. When this reference frequency is set incorrectly, all related chemical shift values are systematically offset. Such wrongly referenced chemical shift values, as well as other problems such as chemical shift values that are assigned to the wrong atom, are not easily distinguished from correct values and effectively reduce the usefulness of the archive. We describe a new method to correct and validate protein chemical shift values in relation to their 3D structure coordinates. This method classifies atoms using two parameters: the per-atom solvent accessible surface area (as calculated from the coordinates) and the secondary structure of the parent amino acid. Through the use of Gaussian statistics based on a large database of 3220 BMRB entries, we obtain per-entry chemical shift corrections as well as Z scores for the individual chemical shift values. In addition, information on the error of the correction value itself is available, and the method can retain only dependable correction values. We provide an online resource with chemical shift, atom exposure, and secondary structure information for all relevant BMRB entries (http://www.ebi.ac.uk/pdbe/nmr/vasco) and hope this data will aid the development of new chemical shift-based methods in NMR.

DOI10.1002/prot.22756
Alternate JournalProteins
PubMed ID20602353
PubMed Central IDPMC2970900
Grant ListGR075968MA / / Wellcome Trust / United Kingdom
GR088944 / / Wellcome Trust / United Kingdom
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