1996
DOI: 10.1103/physrevlett.77.4966
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Origin of Entropy Convergence in Hydrophobic Hydration and Protein Folding

Abstract: An information theory model is used to construct a molecular explanation why hydrophobic solvation entropies measured in calorimetry of protein unfolding converge at a common temperature. The entropy convergence follows from the weak temperature dependence of occupancy fluctuations for molecular-scale volumes in water. The macroscopic expression of the contrasting entropic behavior between water and common organic solvents is the relative temperature insensitivity of the water isothermal compressibility. The i… Show more

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Cited by 262 publications
(389 citation statements)
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“…It seems likely that the entropy change for these large-scale hydrophobic plates converges around T s , similar to the behavior observed for the hydration of small hydrophobic solutes and for the folding of proteins. 14,19,20 At this temperature, the driving force for plate association is only enthalpic. The entropic contribution increases as the temperature decreases.…”
Section: Resultsmentioning
confidence: 96%
“…It seems likely that the entropy change for these large-scale hydrophobic plates converges around T s , similar to the behavior observed for the hydration of small hydrophobic solutes and for the folding of proteins. 14,19,20 At this temperature, the driving force for plate association is only enthalpic. The entropic contribution increases as the temperature decreases.…”
Section: Resultsmentioning
confidence: 96%
“…Simulations on the isolated helix III fragment show that helix III unfolds at Ϸ420 K. This large stability comes from strong side chain contacts in helix III that are consistent with a helix conformation. The use of a constant volume in the REMD simulations overstabilizes hydrophobic contact formation at high T and may be partially responsible for the high transition T (42)(43)(44). The high transition T should be of no major concern because the folding temperature is extremely sensitive to the detailed cancellation between entropy and enthalpy.…”
Section: Resultsmentioning
confidence: 99%
“…To quantify the different factors contributing to the entropy convergence, 14 we use the approximate Gaussian representation eq 20 for p 0 with mean m = n = ρv and variance σ 2 = n 2 − n 2 . This results in an estimate of the chemical potential,…”
Section: B Origin Of Entropy Convergence In Hydrophobic Hydration Anmentioning
confidence: 99%