Evidence map›Paper›PMID 23505345›Full record

ArticleJournal of chemical theory and computation2013

Evaluation of Hydration Free Energy by Level-Set Variational Implicit-Solvent Model with Coulomb-Field Approximation.

Zuojun Guo, Bo Li, Joachim Dzubiella, Li-Tien Cheng, J Andrew McCammon, Jianwei Che

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Variational Implicit Solvation with Poisson-Boltzmann Theory.Journal of chemical theory and computation · 2014
    Article
  12. Heterogeneous Hydration of p53/MDM2 Complex.Journal of chemical theory and computation · 2014
    Article
  13. A Cavity Corrected 3D-RISM Functional for Accurate Solvation Free Energies.Journal of chemical theory and computation · 2014
    Article
  14. Article
  15. 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

6 authors.

Zuojun GuoGenomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, California 92121, United States.
Bo Li
Joachim Dzubiella
Li-Tien Cheng
J Andrew McCammon
Jianwei Che

Funding

THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Mechanisms of Kinase Function and Drug Resistance in CancerR01GM100785 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI CHE, JIANWEI, SAUER, KARSTEN · 2011 to 2014
$1.4M
Level-Set Variational Implicit-Solvent Approach to Biomolecular InteractionsR01GM096188 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LI, BO · 2010 to 2013
$1.2M
NIGMS NIH HHS R01 GM031749NIGMS NIH HHS R01 GM096188NIGMS NIH HHS R01 GM100785
6 · The paper itself

Abstract

In this article, we systematically apply a novel implicit-solvent model, the variational implicit-solvent model (VISM) together with the Coulomb-Field Approximation (CFA), to calculate the hydration free energy of a large set of small organic molecules. Because these molecules have been studied in detail by molecular dynamics simulations and other implicit-solvent models, they provide a good benchmark for evaluating the performance of VISM-CFA. With all-atom Amber force field parameters, VISM-CFA is able to reproduce well not only the experimental and MD simulated total hydration free energy but also the polar and nonpolar contributions individually. The correlation between VISM-CFA and experiments is

Identifiers

PMID23505345
PMCPMC3596957

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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.