The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A View of the Hydrophobic Effect
Abstract
Oil and water do not mix. The disaffinity of oil for water, with its unusual temperature dependence, is called the hydrophobic effect. It is important to understand the factors underlying the hydrophobic effect because they appear to play key roles in membrane and micelle formation, protein folding, ligand-protein and protein−protein binding, chromatographic retention, possibly nucleic acid interactions, and the partitioning of drugs, metabolites, and toxins throughout the environment and living systems. Here, we survey experimental and theoretical studies of nonpolar solute partitioning into water. We note that the hydrophobic effect is not just due to “water ordering” and not merely due to small size effects of water. The properties vary substantially with temperature and solute shape. Also, we discuss the limitations of using oil/water partitioning as the basis for some thermodynamic models in chemistry and biology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hermann, R. B. (1972) · The Journal of Physical Chemistry · doi:10.1021/j100663a023 · Cited by 700
Cited by
Water as an active constituent in cell biology
Ball, P. (2008) · Chemical Reviews · doi:10.1021/cr068037a · Cited by 2,177
Chi, E. Y., Krishnan, S., Randolph, T. W., & Carpenter, J. F. (2003) · Pharmaceutical Research · doi:10.1023/a:1025771421906 · Cited by 1,379
Thermoresponsive hydrogels in biomedical applications
Klouda, L., & Mikos, A. G. (2008) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2007.02.025 · Cited by 1,349
How Water’s Properties Are Encoded in Its Molecular Structure and Energies
Brini, E., Fennell, C. J., Fernandez-Serra, M., Hribar-Lee, B., Lukšič, M., & Dill, K. A. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00259 · Cited by 518
Self-citationThermodynamics versus Kinetics in Nanosynthesis
Wang, Y., He, J., Liu, C., Chong, W. H., & Chen, H. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201402986 · Cited by 497
Metadata
- Authors
- Southall, N. T., Dill, K. A., & Haymet, A. D. J.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-12-20
- Volume
- 106
- Issue
- 3
- Pages
- 521-533
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W1984903816
- Cited by
- 913
- References
- 1
- FWCI
- 21.57
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.