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De novo determination of peptide structure with solid-state magic-angle spinning NMR spectroscopy

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Rienstra, Chad M., Tucker-Kellogg, Lisa, Jaroniec, Christopher P., Hohwy, Morten, Reif, Bernd, McMahon, Michael T., Tidor, Bruce, Lozano-Pérez, Tomás, Griffin, Robert G.·2002·Proceedings of the National Academy of Sciences

Abstract

The three-dimensional structure of the chemotactic peptide N- formyl- l -Met- l -Leu- l -Phe-OH was determined by using solid-state NMR (SSNMR). The set of SSNMR data consisted of 16 13 C– 15 N distances and 18 torsion angle constraints (on 10 angles), recorded from uniformly 13 C, 15 N- and 15 N-labeled samples. The peptide's structure was calculated by means of simulated annealing and a newly developed protocol that ensures that all of conformational space, consistent with the structural constraints, is searched completely. The result is a high-quality structure of a molecule that has thus far not been amenable to single-crystal diffraction studies. The extensions of the SSNMR techniques and computational methods to larger systems appear promising.

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Metadata

Authors
Rienstra, C. M., Tucker-Kellogg, L., Jaroniec, C. P., Hohwy, M., Reif, B., McMahon, M. T., Tidor, B., Lozano-Pérez, T., & Griffin, R. G.
Venue
Proceedings of the National Academy of Sciences
Published
2002-07-29
Volume
99
Issue
16
Pages
10260-10265
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2117595572
Cited by
267
References
0
FWCI
9.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: De novo determination of peptide structure with solid-state magic-angle spinning NMR spectroscopy. https://app.cochat.ai/papers/10.1073/pnas.152346599
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Rienstra, C. M., Tucker-Kellogg, L., Jaroniec, C. P., Hohwy, M., Reif, B., McMahon, M. T., Tidor, B., Lozano-Pérez, T., & Griffin, R. G. (2002). De novo determination of peptide structure with solid-state magic-angle spinning NMR spectroscopy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.152346599

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.