Evidence map›Paper›PMID 29347026›Full record

ArticlePhysical review. E2017

Analytical theory of the hydrophobic effect of solutes in water.

Tomaz Urbic, Ken A Dill

Open access · greenAbstract read
In one paragraph

Article in Physical review. E, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Crustwater: Modeling Hydrophobic Solvation.The journal of physical chemistry. B · 2022
    Article
  2. On the Dependence of Prion and Amyloid Structure on the Folding Environment.International journal of molecular sciences · 2021
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

Tomaz UrbicUniversity of Ljubljana, Faculty of Chemistry and Chemical Technology, Večna pot 113, SI-1000 Ljubljana, Slovenia.
Ken A DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794-5252, USA.
University of Ljubljana · SI

Funding

Modeling Aqueous Solvation in BiologyR01GM063592 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DILL, KEN A · 2001 to 2018
$4.3M
Modeling Aqueous Solvation in BiologyR56GM063592 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DILL, KEN A · 2009 to 2009
$330k
NIGMS NIH HHS R01 GM063592NIGMS NIH HHS R56 GM063592
6 · The paper itself

Abstract

We develop an analytical statistical-mechanical model for hydrophobic solvation in water. In this three-dimensional Mercedes-Benz-like model, two neighboring waters have three possible interaction states: a radial van der Waals interaction, a tetrahedral orientation-dependent hydrogen-bonding interaction, or no interaction. Nonpolar solutes are modeled as van der Waals particles of different radii. The model is sufficiently simple that we can calculate the partition function and thermal and volumetric properties of solvation versus temperature, pressure, and solute radius. Predictions are in good agreement with results of Monte Carlo simulations. And their trends agree with experiments on hydrophobic solute insertion. The theory shows that first-shell waters are more highly structured than bulk waters, because of hydrogen bonding, and that that structure melts out faster with temperature than it does in bulk waters. Because the theory is analytical, it can explore a broad range of solvation properties and anomalies of water, at minimal computational expense.

Identifiers

PMID29347026
PMCPMC5884126
OpenAlexW2751437168

What OpenQuestion holds

Textmetadata
LicenceTDM
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.