Evidence map›Paper›PMID 24299013›Full record

ArticleThe journal of physical chemistry. B2014

Field-SEA: a model for computing the solvation free energies of nonpolar, polar, and charged solutes in water.

Libo Li, Christopher J Fennell, Ken A Dill

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  6. Hexahydrated MgBiophysical journal · 2018
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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

3 authors at 2 institutions in 1 country.

Libo LiLaufer Center for Physical and Quantitative Biology, and Departments of Physics and Chemistry, Stony Brook University , Stony Brook, New York 11794, United States.
Christopher J Fennell
Ken A Dill
Stony Brook University · USOklahoma State University · US

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 GM63592NIGMS NIH HHS R01 GM063592NIGMS NIH HHS R56 GM063592
6 · The paper itself

Abstract

Previous work describes a computational solvation model called semi-explicit assembly (SEA). The SEA water model computes the free energies of solvation of nonpolar and polar solutes in water with good efficiency and accuracy. However, SEA gives systematic errors in the solvation free energies of ions and charged solutes. Here, we describe field-SEA, an improved treatment that gives accurate solvation free energies of charged solutes, including monatomic and polyatomic ions and model dipeptides, as well as nonpolar and polar molecules. Field-SEA is computationally inexpensive for a given solute because explicit-solvent model simulations are relegated to a precomputation step and because it represents solvating waters in terms of a solute's free-energy field. In essence, field-SEA approximates the physics of explicit-model simulations within a computationally efficient framework. A key finding is that an atom's solvation shell inherits characteristics of a neighboring atom, especially strongly charged neighbors. Field-SEA may be useful where there is a need for solvation free-energy computations that are faster than explicit-solvent simulations and more accurate than traditional implicit-solvent simulations for a wide range of solutes.

Indexed as

Models, ChemicalDipeptidesIonsSolventsThermodynamicsWaterDipeptidesIonsSolventsWater

Identifiers

PMID24299013
PMCPMC4065164
OpenAlexW1988829996

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.