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Cited by 591

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The pressure dependence of hydrophobic interactions is consistent with the observed pressure denaturation of proteins

Open access
Hummer, Gerhard, Garde, Shekhar, García, Angel E., Paulaitis, Michael E., Pratt, Lawrence R.·1998·Proceedings of the National Academy of Sciences

Abstract

Proteins can be denatured by pressures of a few hundred MPa. This finding apparently contradicts the most widely used model of protein stability, where the formation of a hydrophobic core drives protein folding. The pressure denaturation puzzle is resolved by focusing on the pressure-dependent transfer of water into the protein interior, in contrast to the transfer of nonpolar residues into water, the approach commonly taken in models of protein unfolding. Pressure denaturation of proteins can then be explained by the pressure destabilization of hydrophobic aggregates by using an information theory model of hydrophobic interactions. Pressure-denatured proteins, unlike heat-denatured proteins, retain a compact structure with water molecules penetrating their core. Activation volumes for hydrophobic contributions to protein folding and unfolding kinetics are positive. Clathrate hydrates are predicted to form by virtually the same mechanism that drives pressure denaturation of proteins.

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Metadata

Authors
Hummer, G., Garde, S., García, A. E., Paulaitis, M. E., & Pratt, L. R.
Venue
Proceedings of the National Academy of Sciences
Published
1998-02-17
Volume
95
Issue
4
Pages
1552-1555
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1974137193
Cited by
591
References
1
FWCI
7.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The pressure dependence of hydrophobic interactions is consistent with the observed pressure denaturation of proteins. https://app.cochat.ai/papers/10.1073/pnas.95.4.1552
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Hummer, G., Garde, S., García, A. E., Paulaitis, M. E., & Pratt, L. R. (1998). The pressure dependence of hydrophobic interactions is consistent with the observed pressure denaturation of proteins. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.95.4.1552

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.