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Author Lammert, Heiko ♦ Noel, Jeffrey K. ♦ Haglund, Ellinor ♦ Onuchic, José N. ♦ Schug, Alexander
Source United States Department of Energy Office of Scientific and Technical Information
Content type Text
Language English
Subject Keyword INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY ♦ CONTROL ♦ FLUCTUATIONS ♦ FOLDING MODEL ♦ NUCLEAR MAGNETIC RESONANCE ♦ PROTEINS ♦ RIBOSOMES
Abstract The diversity in a set of protein nuclear magnetic resonance (NMR) structures provides an estimate of native state fluctuations that can be used to refine and enrich structure-based protein models (SBMs). Dynamics are an essential part of a protein’s functional native state. The dynamics in the native state are controlled by the same funneled energy landscape that guides the entire folding process. SBMs apply the principle of minimal frustration, drawn from energy landscape theory, to construct a funneled folding landscape for a given protein using only information from the native structure. On an energy landscape smoothed by evolution towards minimal frustration, geometrical constraints, imposed by the native structure, control the folding mechanism and shape the native dynamics revealed by the model. Native-state fluctuations can alternatively be estimated directly from the diversity in the set of NMR structures for a protein. Based on this information, we identify a highly flexible loop in the ribosomal protein S6 and modify the contact map in a SBM to accommodate the inferred dynamics. By taking into account the probable native state dynamics, the experimental transition state is recovered in the model, and the correct order of folding events is restored. Our study highlights how the shared energy landscape connects folding and function by showing that a better description of the native basin improves the prediction of the folding mechanism.
ISSN 00219606
Educational Use Research
Learning Resource Type Article
Publisher Date 2015-12-28
Publisher Place United States
Journal Journal of Chemical Physics
Volume Number 143
Issue Number 24


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