Fast mapping of global protein folding states by multivariate NMR: a GPS for proteins
To obtain insight into the functions of proteins and their specific roles, it is important to establish efficient procedures for exploring the states that encapsulate their conformational space. Global Protein folding State mapping by multivariate NMR (GPS NMR) is a powerful high-throughput method t...
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Published in | PloS one Vol. 5; no. 4; p. e10262 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
21.04.2010
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | To obtain insight into the functions of proteins and their specific roles, it is important to establish efficient procedures for exploring the states that encapsulate their conformational space. Global Protein folding State mapping by multivariate NMR (GPS NMR) is a powerful high-throughput method that provides such an overview. GPS NMR exploits the unique ability of NMR to simultaneously record signals from individual hydrogen atoms in complex macromolecular systems and of multivariate analysis to describe spectral variations from these by a few variables for establishment of, and positioning in, protein-folding state maps. The method is fast, sensitive, and robust, and it works without isotope-labelling. The unique capabilities of GPS NMR to identify different folding states and to compare different unfolding processes are demonstrated by mapping of the equilibrium folding space of bovine alpha-lactalbumin in the presence of the anionic surfactant sodium dodecyl sulfate, SDS, and compare these with other surfactants, acid, denaturants and heat. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Current address: Department of Medicine, University of Bergen, Bergen, Norway Conceived and designed the experiments: AM DO NCN. Performed the experiments: AM JU. Analyzed the data: AM JU. Contributed reagents/materials/analysis tools: DO NCN. Wrote the paper: AM NCN. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0010262 |