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PMID: 16027363 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

NMR data collection and analysis protocol for high-throughput protein structure determination.

Liu G, Shen Y, Atreya HS, Parish D, Shao Y, Sukumaran DK, Xiao R, Yee A, Lemak A, Bhattacharya A, Acton TA, Arrowsmith CH, Montelione GT, Szyperski T

Abstract

A standardized protocol enabling rapid NMR data collection for high-quality protein structure determination is presented that allows one to capitalize on high spectrometer sensitivity: a set of five G-matrix Fourier transform NMR experiments for resonance assignment based on highly resolved 4D and 5D spectral information is acquired in conjunction with a single simultaneous 3D 15N,13C(aliphatic),13C(aromatic)-resolved [1H,1H]-NOESY spectrum providing 1H-1H upper distance limit constraints. The protocol was integrated with methodology for semiautomated data analysis and used to solve eight NMR protein structures of the Northeast Structural Genomics Consortium pipeline. The molecular masses of the hypothetical target proteins ranged from 9 to 20 kDa with an average of approximately 14 kDa. Between 1 and 9 days of instrument time were invested per structure, which is less than approximately 10-25% of the measurement time routinely required to date with conventional approaches. The protocol presented here effectively removes data collection as a bottleneck for high-throughput solution structure determination of proteins up to at least approximately 20 kDa, while concurrently providing spectra that are highly amenable to fast and robust analysis.

MeSH Terms
Data Collection/methods Fourier Analysis Models, Molecular Nuclear Magnetic Resonance, Biomolecular/methods Protein Conformation Proteins/chemistry
Chemicals
Proteins
Authors & Affiliations
14 authors, click to expand affiliations / ORCID
Liu Gaohua
Department of Chemistry, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Shen Yang
Atreya Hanudatta S
Parish David
Shao Ying
Sukumaran Dinesh K
Xiao Rong
Yee Adelinda
Lemak Alexander
Bhattacharya Aneerban
Acton Thomas A
Arrowsmith Cheryl H
Montelione Gaetano T
Szyperski Thomas
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33 references, click to expand
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2005-07-26
Epub
2005-00-18
Pages
10487-92
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC1180791
Subset
IM
Grants
NIGMS NIH HHS · P50 GM062413 · United States
NIGMS NIH HHS · P50 GM62413 · United States
Databases
Analysis Services
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