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Lange, O.F. ; Rossi, P.* ; Sgourakis, N.G.* ; Song, Y.F.* ; Lee, H.-W.* ; Aramini, J.M.* ; Ertekin, A.* ; Xiao, R.* ; Acton, T.B.* ; Montelione, G.T.* ; Baker, D.*

Determination of solution structures of proteins up to 40 kDa using CS-Rosetta with sparse NMR data from deuterated samples.

Proc. Natl. Acad. Sci. U.S.A. 109, 10873-10878 (2012)
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We have developed an approach for determining NMR structures of proteins over 20 kDa that utilizes sparse distance restraints obtained using transverse relaxation optimized spectroscopy experiments on perdeuterated samples to guide RASREC Rosetta NMR structure calculations. The method was tested on 11 proteins ranging from 15 to 40 kDa, seven of which were previously unsolved. The RASREC Rosetta models were in good agreement with models obtained using traditional NMR methods with larger restraint sets. In five cases X-ray structures were determined or were available, allowing comparison of the accuracy of the Rosetta models and conventional NMR models. In all five cases, the Rosetta models were more similar to the X-ray structures over both the backbone and side-chain conformations than the "best effort" structures determined by conventional methods. The incorporation of sparse distance restraints into RASREC Rosetta allows routine determination of high-quality solution NMR structures for proteins up to 40 kDa, and should be broadly useful in structural biology.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Nuclear Magnetic Resonance ; Sparse Data ; Maltose Binding Protein ; Structural Genomics ; Genetic Algorithms; Residual Dipolar Couplings; Automated Noe Assignment; Torsion Angle Dynamics; Sensory Rhodopsin-Li; Multidimensional NMR; Structure Prediction; Binding Protein; Global Folds; Resolution; Spectroscopy
Sprache englisch
Veröffentlichungsjahr 2012
HGF-Berichtsjahr 2012
ISSN (print) / ISBN 0027-8424
e-ISSN 1091-6490
Quellenangaben Band: 109, Heft: 27, Seiten: 10873-10878 Artikelnummer: , Supplement: ,
Verlag National Academy of Sciences
Begutachtungsstatus Peer reviewed
POF Topic(s) 30203 - Molecular Targets and Therapies
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503000-001
PubMed ID 22733734
Scopus ID 84863570589
Erfassungsdatum 2012-08-16