The DOI matches its Crossref record.
Quantification of the hydrophobic interaction by simulations of the aggregation of small hydrophobic solutes in water
Open accessAbstract
The hydrophobic interaction, the tendency for nonpolar molecules to aggregate in solution, is a major driving force in biology. In a direct approach to the physical basis of the hydrophobic effect, nanosecond molecular dynamics simulations were performed on increasing numbers of hydrocarbon solute molecules in water-filled boxes of different sizes. The intermittent formation of solute clusters gives a free energy that is proportional to the loss in exposed molecular surface area with a constant of proportionality of 45 ± 6 cal/mol⋅Å 2 . The molecular surface area is the envelope of the solute cluster that is impenetrable by solvent and is somewhat smaller than the more traditional solvent-accessible surface area, which is the area transcribed by the radius of a solvent molecule rolled over the surface of the cluster. When we apply a factor relating molecular surface area to solvent-accessible surface area, we obtain 24 cal/mol⋅Å 2 . Ours is the first direct calculation, to our knowledge, of the hydrophobic interaction from molecular dynamics simulations; the excellent qualitative and quantitative agreement with experiment proves that simple van der Waals interactions and atomic point-charge electrostatics account for the most important driving force in 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
Cited by
Tsodikov, O. V., Record, M. T., & Sergeev, Y. V. (2002) · Journal of Computational Chemistry · doi:10.1002/jcc.10061 · Cited by 406
Why Enzymes Are Proficient Catalysts: Beyond the Pauling Paradigm
Zhang, X., & Houk, K. N. (2005) · Accounts of Chemical Research · doi:10.1021/ar040257s · Cited by 304
Efficient self-assembly in water of long noncovalent polymers by nucleobase analogues
Cafferty, B. J., Gállego, I., Chen, M. C., Farley, K. I., Eritja, R., & Hud, N. V. (2013) · Journal of the American Chemical Society · doi:10.1021/ja312155v · Cited by 157
Metadata
- Authors
- Raschke, T. M., Tsai, J., & Levitt, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2001-05-15
- Volume
- 98
- Issue
- 11
- Pages
- 5965-5969
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2076861723
- Cited by
- 195
- References
- 0
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantification of the hydrophobic interaction by simulations of the aggregation of small hydrophobic solutes in water. https://app.cochat.ai/papers/10.1073/pnas.111158498
- The paper
- Raschke, T. M., Tsai, J., & Levitt, M. (2001). Quantification of the hydrophobic interaction by simulations of the aggregation of small hydrophobic solutes in water. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.111158498
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.