Protein NMR Resonance Assignment without Spectral Analysis: 5D SOlid-State Automated Projection SpectroscopY (SO-APSY)
| dc.contributor.author | Orton, Henry | |
| dc.contributor.author | Stanek, Jan | |
| dc.contributor.author | Schubeis, Tobias | |
| dc.contributor.author | Foucaudeau, Dylan | |
| dc.contributor.author | Ollier, Claire | |
| dc.contributor.author | Draney, Adrian W | |
| dc.contributor.author | Le Marchand, Tanguy | |
| dc.contributor.author | Cala-De Paepe, Diane | |
| dc.contributor.author | Felli, Isabella C | |
| dc.contributor.author | Pierattelli, Roberta | |
| dc.contributor.author | Hiller, Sebastian | |
| dc.contributor.author | Bermel, Wolfgang | |
| dc.contributor.author | Pintacuda, Guido | |
| dc.date.accessioned | 2021-04-09T00:41:21Z | |
| dc.date.available | 2021-04-09T00:41:21Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Narrow proton signals, high sensitivity, and efficient coherence transfers provided by fast magic-angle spinning at high magnetic fields make automated projection spectroscopy feasible for the solid-state NMR analysis of proteins. We present the first ultrahigh dimensional implementation of this approach, where 5D peak lists are reconstructed from a number of 2D projections for protein samples of different molecular sizes and aggregation states, which show limited dispersion of chemical shifts or inhomogeneous broadenings. The resulting datasets are particularly suitable to automated analysis and yield rapid and unbiased assignments of backbone resonances. | en_AU |
| dc.description.sponsorship | Thework was funded by the European Research Council(ERC) under the European UnionsHorizon 2020 researchand innovation programme (ERC-2015-CoG GA 648974), bythe CNRS (IR-RMN FR3050), and by the EU-project iNext(GA 653706). H.W.O.was supported by the Westpac Foun-dation with aFuture Leaders Scholarship,and J.S. by the ECsREA with aMSCAfellowship (GA 661799). Theproject wasco-financed by the Polish National Agency for AcademicExchange (contract No PPN/PPO/2018/1/00098) | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1433-7851 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/229740 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | https://v2.sherpa.ac.uk/id/publication/1320..."The Accepted Version can be archived in a Non-Commercial Institutional Repository. 12 months embargo. " from SHERPA/RoMEO site (as at 9/04/2021). This is the peer reviewed version of the following article: [Orton, Henry W., et al. "Protein NMR Resonance Assignment without Spectral Analysis: 5D SOlid‐State Automated Projection SpectroscopY (SO‐APSY)." Angewandte Chemie International Edition 59.6 (2020): 2380-2384.], which has been published in final form at [https://dx.doi.org/10.1002/anie.201912211]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | en_AU |
| dc.publisher | Wiley | en_AU |
| dc.rights | © 2019 Wiley-VCH Verlag GmbH &Co. KGaA, Weinheim | en_AU |
| dc.source | Angewandte Chemie | en_AU |
| dc.subject | nmr spectroscopy | en_AU |
| dc.subject | automation | en_AU |
| dc.subject | projection spectroscopy | en_AU |
| dc.subject | proton detection | en_AU |
| dc.subject | solid-state structures | en_AU |
| dc.subject | automation | en_AU |
| dc.subject | isotope labeling | en_AU |
| dc.subject | nuclear magnetic resonance, biomolecular | en_AU |
| dc.subject | proteins | en_AU |
| dc.subject | superoxide dismutase | en_AU |
| dc.subject | beta 2-microglobulin | en_AU |
| dc.title | Protein NMR Resonance Assignment without Spectral Analysis: 5D SOlid-State Automated Projection SpectroscopY (SO-APSY) | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 6 | en_AU |
| local.bibliographicCitation.lastpage | 2384 | en_AU |
| local.bibliographicCitation.startpage | 2380 | en_AU |
| local.contributor.affiliation | Orton, H., Research School of Chemistry, The Australian National University | en_AU |
| local.contributor.authoruid | u5376227 | en_AU |
| local.identifier.ariespublication | u5786633xPUB1196 | |
| local.identifier.citationvolume | 59 | en_AU |
| local.identifier.doi | 10.1002/anie.201912211 | en_AU |
| local.identifier.essn | 1521-3773 | en_AU |
| local.publisher.url | https://www.wiley.com/en-gb | en_AU |
| local.type.status | Accepted Version | en_AU |
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