Evidence map›Paper›PMID 29634902›Full record

ArticleThe journal of physical chemistry. B2018

The Excess Chemical Potential of Water at the Interface with a Protein from End Point Simulations.

Bin W Zhang, Di Cui, Nobuyuki Matubayasi, Ronald M Levy

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Solvation Thermodynamics from the Perspective of Endpoints DFT.The journal of physical chemistry. B · 2020
    Review
  6. Article
  7. The UWHAM and SWHAM Software Package.Scientific reports · 2019
    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

4 authors.

Bin W ZhangCenter for Biophysics and Computational Biology , Department of Chemistry , and Institute for Computational Molecular Science , Temple University , Philadelphia , Pennsylvania 19122 , United States.ORCID 0000-0003-3007-4900
Di CuiCenter for Biophysics and Computational Biology , Department of Chemistry , and Institute for Computational Molecular Science , Temple University , Philadelphia , Pennsylvania 19122 , United States.ORCID 0000-0001-8609-8472
Nobuyuki MatubayasiDivision of Chemical Engineering, Graduate School of Engineering Science , Osaka University , Toyonaka , Osaka 560-8531 , Japan.ORCID 0000-0001-7176-441X
Ronald M LevyCenter for Biophysics and Computational Biology , Department of Chemistry , and Institute for Computational Molecular Science , Temple University , Philadelphia , Pennsylvania 19122 , United States.ORCID 0000-0001-8696-5177

Funding

DYNAMICS OF PEPTIDES AND PROTEINSR01GM030580 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 1985 to 2018
$6.1M
Computer Cluster for Computational Biology and BiophysicsS10OD020095 · OD · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 2015 to 2015
$442k
NIGMS NIH HHS R01 GM030580NIH HHS S10 OD020095
6 · The paper itself

Abstract

We use end point simulations to estimate the excess chemical potential of water in the homogeneous liquid and at the interface with a protein in solution. When the pure liquid is taken as the reference, the excess chemical potential of interfacial water is the difference between the solvation free energy of a water molecule at the interface and in the bulk. Using the homogeneous liquid as an example, we show that the solvation free energy for growing a water molecule can be estimated by applying UWHAM to the simulation data generated from the initial and final states (i.e., "the end points") instead of multistate free energy perturbation simulations because of the possible overlaps of the configurations sampled at the end points. Then end point simulations are used to estimate the solvation free energy of water at the interface with a protein in solution. The estimate of the solvation free energy at the interface from two simulations at the end points agrees with the benchmark using 32 states within a 95% confidence interval for most interfacial locations. The ability to accurately estimate the excess chemical potential of water from end point simulations facilitates the statistical thermodynamic analysis of diverse interfacial phenomena. Our focus is on analyzing the excess chemical potential of water at protein receptor binding sites with the goal of using this information to assist in the design of tight binding ligands.

Indexed as

Models, MolecularProtein ConformationProteinsThermodynamicsWaterProteinsWater

Identifiers

PMID29634902
PMCPMC5939383

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Registered trials

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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.