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Osmotic stress, crowding, preferential hydration, and binding: A comparison of perspectives

Open access
Parsegian, V. A., Rand, R. P., Rau, D. C.·2000·Proceedings of the National Academy of Sciences

Abstract

There has been much confusion recently about the relative merits of different approaches, osmotic stress, preferential interaction, and crowding, to describe the indirect effect of solutes on macromolecular conformations and reactions. To strengthen all interpretations of measurements and to forestall further unnecessary conceptual or linguistic confusion, we show here how the different perspectives all can be reconciled. Our approach is through the Gibbs-Duhem relation, the universal constraint on the number of ways it is possible to change the temperature, pressure, and chemical potentials of the several components in any thermodynamically defined system. From this general Gibbs-Duhem equation, it is possible to see the equivalence of the different perspectives and even to show the precise identity of the more specialized equations that the different approaches use.

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Metadata

Authors
Parsegian, V. A., Rand, R. P., & Rau, D. C.
Venue
Proceedings of the National Academy of Sciences
Published
2000-04-11
Volume
97
Issue
8
Pages
3987-3992
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1970157213
Cited by
490
References
1
FWCI
5.07
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Osmotic stress, crowding, preferential hydration, and binding: A comparison of perspectives. https://app.cochat.ai/papers/10.1073/pnas.97.8.3987
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Parsegian, V. A., Rand, R. P., & Rau, D. C. (2000). Osmotic stress, crowding, preferential hydration, and binding: A comparison of perspectives. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.97.8.3987

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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.