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Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra
T. Evangelidis, S. Nerli, J. Nováček, AE. Brereton, PA. Karplus, RR. Dotas, V. Venditti, NG. Sgourakis, K. Tripsianes,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2015
Free Medical Journals
od 2010
Nature Open Access
od 2010-12-01
PubMed Central
od 2012
Europe PubMed Central
od 2012
ProQuest Central
od 2010-01-01
Open Access Digital Library
od 2015-01-01
Open Access Digital Library
od 2015-01-01
Medline Complete (EBSCOhost)
od 2012-11-01
Health & Medicine (ProQuest)
od 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
Springer Nature OA/Free Journals
od 2010-12-01
- MeSH
- algoritmy * MeSH
- bakteriální proteiny chemie MeSH
- konformace proteinů, alfa-helix MeSH
- konformace proteinů, beta-řetězec MeSH
- molekulární modely MeSH
- nukleární magnetická rezonance biomolekulární metody MeSH
- Thermoanaerobacter chemie MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
Automated methods for NMR structure determination of proteins are continuously becoming more robust. However, current methods addressing larger, more complex targets rely on analyzing 6-10 complementary spectra, suggesting the need for alternative approaches. Here, we describe 4D-CHAINS/autoNOE-Rosetta, a complete pipeline for NOE-driven structure determination of medium- to larger-sized proteins. The 4D-CHAINS algorithm analyzes two 4D spectra recorded using a single, fully protonated protein sample in an iterative ansatz where common NOEs between different spin systems supplement conventional through-bond connectivities to establish assignments of sidechain and backbone resonances at high levels of completeness and with a minimum error rate. The 4D-CHAINS assignments are then used to guide automated assignment of long-range NOEs and structure refinement in autoNOE-Rosetta. Our results on four targets ranging in size from 15.5 to 27.3 kDa illustrate that the structures of proteins can be determined accurately and in an unsupervised manner in a matter of days.
Department of Chemistry Iowa State University 2438 Pammel Drive Ames IA 50011 USA
Department of Computer Science University of California Santa Cruz Santa Cruz CA 95064 USA
Citace poskytuje Crossref.org
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