Evidence map›Paper›PMID 26957607›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Necessity of capillary modes in a minimal model of nanoscale hydrophobic solvation.

Suriyanarayanan Vaikuntanathan, Grant Rotskoff, Alexander Hudson, Phillip L Geissler

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Learning the relationship between nanoscale chemical patterning and hydrophobicity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  3. A molecular twist on hydrophobicity.Chemical science · 2021
    Article
  4. Identifying hydrophobic protein patches to inform protein interaction interfaces.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Energy dissipation and fluctuations in a driven liquid.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  7. Mechanism of ion adsorption to aqueous interfaces: Graphene/water vs. air/water.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Article
  9. The hydrophobic effect, and fluctuations: The long and the short of it.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Suriyanarayanan VaikuntanathanDepartment of Chemistry, The University of Chicago, Chicago, IL 60637; svaikunt@uchicago.edu.
Grant RotskoffBiophysics Graduate Group, University of California, Berkeley, CA 94720;
Alexander HudsonDepartment of Chemistry, University of California, Berkeley, CA 94720.
Phillip L GeisslerDepartment of Chemistry, University of California, Berkeley, CA 94720.

Funding

MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008295 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HURLEY, JAMES H, WEMMER, DAVID E · 1989 to 2022
$8.1M
NIGMS NIH HHS T32 GM008295NIGMS NIH HHS T32GM008295
6 · The paper itself

Abstract

Modern theories of the hydrophobic effect highlight its dependence on length scale, emphasizing the importance of interfaces in the vicinity of sizable hydrophobes. We recently showed that a faithful treatment of such nanoscale interfaces requires careful attention to the statistics of capillary waves, with significant quantitative implications for the calculation of solvation thermodynamics. Here, we show that a coarse-grained lattice model like that of Chandler [Chandler D (2005)Nature437(7059):640-647], when informed by this understanding, can capture a broad range of hydrophobic behaviors with striking accuracy. Specifically, we calculate probability distributions for microscopic density fluctuations that agree very well with results of atomistic simulations, even many SDs from the mean and even for probe volumes in highly heterogeneous environments. This accuracy is achieved without adjustment of free parameters, because the model is fully specified by well-known properties of liquid water. As examples of its utility, we compute the free-energy profile for a solute crossing the air-water interface, as well as the thermodynamic cost of evacuating the space between extended nanoscale surfaces. These calculations suggest that a highly reduced model for aqueous solvation can enable efficient multiscale modeling of spatial organization driven by hydrophobic and interfacial forces.

Indexed as

Hydrophobic and Hydrophilic InteractionsModels, ChemicalThermodynamicscoarse-grained modelhydrophobic effectlattice modelsself-assembly

Identifiers

PMID26957607
PMCPMC4843481

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.