2013
DOI: 10.1016/j.jmr.2013.06.023
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A suite of amino acid residue type classification pulse sequences for 13C-detected NMR of proteins

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Cited by 7 publications
(3 citation statements)
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“…A second approach, based on the CBCACO sequence, proposed the use of a selection method based on the 13 C β topology to distinguish the different amino acid types. 83 From a single experiment recorded with a sequence that includes several selective pulses cleverly chosen, it is possible to generate subspectra in which the residue signals can be grouped in six classes according to their topology. The classification is coarse but useful for specific purposes.…”
Section: Sequence-specific Assignmentmentioning
confidence: 99%
“…A second approach, based on the CBCACO sequence, proposed the use of a selection method based on the 13 C β topology to distinguish the different amino acid types. 83 From a single experiment recorded with a sequence that includes several selective pulses cleverly chosen, it is possible to generate subspectra in which the residue signals can be grouped in six classes according to their topology. The classification is coarse but useful for specific purposes.…”
Section: Sequence-specific Assignmentmentioning
confidence: 99%
“…4). We envision new amino acid typeselective schemes 40,41 in ssNMR based on rotational resonance at few spinning rates could be established to complement common assignment pulse sequences. Such experiments would remove ambiguity or eliminate the need for selective labeling procedures for large protein systems.…”
Section: Effects In Common and Emerging Measurementsmentioning
confidence: 99%
“…In a paper published in the Journal of Magnetic Resonance, these authors introduced a collection of pulse sequences to classify CACO and CON spectra by amino acid residue type. 58 In the Journal of Biomolecular NMR, Pantoja-Uceda and Santoro proposed a pair of 3D correlation experiments that use the 3D hNcocaNCO and hnCOcaNCO spectra in combination with the 2D CON spectrum and demonstrate this method on Nupr1, a 93 residue IDP. 59 …”
Section: Experimental Approaches In Idp/idpr Analysismentioning
confidence: 99%