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PMID: 20133520 Published · ppublish English 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.

NMR structure determination for larger proteins using backbone-only data.

Science (New York, N.Y.) ·Vol. 327 ·No. 5968 ·2010-02-19 ·Pages 1014-8

Raman S, Lange OF, Rossi P, Tyka M, Wang X, Aramini J, Liu G, Ramelot TA, Eletsky A, Szyperski T, Kennedy MA, Prestegard J, Montelione GT, Baker D

Abstract

Conventional protein structure determination from nuclear magnetic resonance data relies heavily on side-chain proton-to-proton distances. The necessary side-chain resonance assignment, however, is labor intensive and prone to error. Here we show that structures can be accurately determined without nuclear magnetic resonance (NMR) information on the side chains for proteins up to 25 kilodaltons by incorporating backbone chemical shifts, residual dipolar couplings, and amide proton distances into the Rosetta protein structure modeling methodology. These data, which are too sparse for conventional methods, serve only to guide conformational search toward the lowest-energy conformations in the folding landscape; the details of the computed models are determined by the physical chemistry implicit in the Rosetta all-atom energy function. The new method is not hindered by the deuteration required to suppress nuclear relaxation processes for proteins greater than 15 kilodaltons and should enable routine NMR structure determination for larger proteins.

MeSH Terms
Computer Simulation Models, Molecular Monte Carlo Method Nuclear Magnetic Resonance, Biomolecular/methods Protein Conformation Protein Folding Proteins/chemistry Software Thermodynamics
Chemicals
Proteins
Authors & Affiliations
14 authors, click to expand affiliations / ORCID
Raman Srivatsan
Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Lange Oliver F
Rossi Paolo
Tyka Michael
Wang Xu
Aramini James
Liu Gaohua
Ramelot Theresa A
Eletsky Alexander
Szyperski Thomas
Kennedy Michael A
Prestegard James
Montelione Gaetano T
Baker David
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Article Info
Journal
Science (New York, N.Y.)
Abbr.
Science
ISSN
1095-9203
Published
2010-02-19
Epub
2010-00-04
Pages
1014-8
Language
English
Region
United States
NLM ID
0404511
PMCID
PMC2909653
Subset
IM
Grants
NIGMS NIH HHS · GM76222 · United States
Wellcome Trust · United Kingdom
NIGMS NIH HHS · R01 GM092802 · United States
NIGMS NIH HHS · U54 GM074958 · United States
Howard Hughes Medical Institute · United States
NIGMS NIH HHS · P41 GM103390 · United States
NCRR NIH HHS · P41 RR005351 · United States
NIGMS NIH HHS · P20 GM076222 · United States
NCRR NIH HHS · RR005351 · United States
NIGMS NIH HHS · R01 GM095693 · United States
NIGMS NIH HHS · U54 GM074958-05 · United States
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