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Journal of Magnetic Resonance
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Amino acid type identification in NMR spectra of proteins via β- and γ-carbon edited experiments

Authors: Pantoja-Uceda D; Santoro J;

Amino acid type identification in NMR spectra of proteins via β- and γ-carbon edited experiments

Abstract

In this work, we introduce a set of pulse sequences that provide amino acid type identification of the NH correlation signals of proteins. The first pulse sequence is a modification of the CBCA(CO)NH experiment that exploits spin-coupling topologies to differentiate between amino acid types. A set of eight 2D (1)H-(15)N correlation spectra is recorded where the sign of the cross-peaks change from one spectrum to another according to the amino acid type of the preceding residue in the protein sequence. Linear combination of these eight data sets produces four subspectra. Taking also into account the sign of the correlation signals, this method allows the classification of the NH signals into six different groups, depending on the character of the preceding residue. This sequence is complemented with a (CGCBCACO)NH experiment that allows the subdivision of the largest of these groups into two smaller ones. Finally, a modification of the CBCANH experiment led to a similar classification of NH signals into six different groups, but now depending on the type of its own amino acid. The set of pulse sequences is demonstrated with two proteins of small to moderate size.

Keywords

Magnetic Resonance Spectroscopy, Proteins, Reproducibility of Results, Amino Acids, Sensitivity and Specificity, Algorithms, Carbon

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
Green