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-   -   [NMR paper] Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations. (http://www.bionmr.com/forum/journal-club-9/loss-conformational-entropy-protein-folding-calculated-using-realistic-ensembles-its-implications-nmr-based-calculations-21367/)

nmrlearner 10-15-2014 10:58 AM

Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations.
 
Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations.

Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations.

Proc Natl Acad Sci U S A. 2014 Oct 13;

Authors: Baxa MC, Haddadian EJ, Jumper JM, Freed KF, Sosnick TR

Abstract
The loss of conformational entropy is a major contribution in the thermodynamics of protein folding. However, accurate determination of the quantity has proven challenging. We calculate this loss using molecular dynamic simulations of both the native protein and a realistic denatured state ensemble. For ubiquitin, the total change in entropy is T?STotal = 1.4 kcal?mol(-1) per residue at 300 K with only 20% from the loss of side-chain entropy. Our analysis exhibits mixed agreement with prior studies because of the use of more accurate ensembles and contributions from correlated motions. Buried side chains lose only a factor of 1.4 in the number of conformations available per rotamer upon folding (?U/?N). The entropy loss for helical and sheet residues differs due to the smaller motions of helical residues (T?Shelix-sheet = 0.5 kcal?mol(-1)), a property not fully reflected in the amide N-H and carbonyl C=O bond NMR order parameters. The results have implications for the thermodynamics of folding and binding, including estimates of solvent ordering and microscopic entropies obtained from NMR.


PMID: 25313044 [PubMed - as supplied by publisher]



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