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Automated projection spectroscopy and its applications
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 1171038
Author(s) Hiller, Sebastian; Wider, Gerhard
Author(s) at UniBasel Hiller, Sebastian
Year 2012
Title Automated projection spectroscopy and its applications
Journal Topics in current chemistry
Volume 316
Pages / Article-Number 21-47
Keywords APSY, Automated peak picking, Automated resonance assignment, GAPRO, NMR, Projection spectroscopy, Protein backbone, Protein side chains
Abstract This chapter presents the NMR technique APSY (automated projection spectroscopy) and its applications for sequence-specific resonance assignments of proteins. The result of an APSY experiment is a list of chemical shift correlations for an N-dimensional NMR spectrum (N?3). This list is obtained in a fully automated way by the dedicated algorithm GAPRO (geometric analysis of projections) from a geometric analysis of experimentally recorded, low-dimensional projections. Because the positions of corresponding peaks in multiple projections are correlated, thermal noise and other uncorrelated artifacts are efficiently suppressed. We describe the theoretical background of the APSY method and discuss technical aspects that guide its optimal use. Further, applications of APSY-NMR spectroscopy for fully automated sequence-specific backbone and side chain assignments of proteins are described. We discuss the choice of suitable experiments for this purpose and show several examples. APSY is of particular interest for the assignment of soluble unfolded proteins, which is a time-consuming task by conventional means. With this class of proteins, APSY-NMR experiments with up to seven dimensions have been recorded. Sequence-specific assignments of protein side chains in turn are obtained from a 5D TOCSY-APSY-NMR experiment.
Publisher Springer Verlag
ISSN/ISBN 0340-1022
edoc-URL http://edoc.unibas.ch/dok/A6002731
Full Text on edoc No
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/21710379
ISI-Number WOS:000321578100003
Document type (ISI) Journal Article, Review
 
   

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