Evidence map›Paper›PMID 16774320›Full record

ArticleThe Journal of chemical physics2006

Free volume hypothetical scanning molecular dynamics method for the absolute free energy of liquids.

Ronald P White, Hagai Meirovitch

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Ronald P WhiteDepartment of Computational Biology, University of Pittsburgh School of Medicine, 3064 BST3, Pittsburgh, Pennsylvania 15260, USA.
Hagai Meirovitch

Funding

Methods for Calculating the Free Energy of ProteinsR01GM066090 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MEIROVITCH, HAGAI · 2002 to 2010
$1.5M
Computational Methods for ProteinsR01GM061916 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MEIROVITCH, HAGAI · 2001 to 2003
$550k
NIGMS NIH HHS R01 GM061916NIGMS NIH HHS R01 GM066090NIGMS NIH HHS R01 GM61916NIGMS NIH HHS R01 GM66090
6 · The paper itself

Abstract

The hypothetical scanning (HS) method is a general approach for calculating the absolute entropy, S, and free energy, F, by analyzing Boltzmann samples obtained by Monte Carlo (MC) or molecular dynamics (MD) techniques. With HS applied to a fluid, each configuration i of the sample is reconstructed by gradually placing the molecules in their positions at i using transition probabilities (TPs). With our recent version of HS, called HSMC-EV, each TP is calculated from MC simulations, where the simulated particles are excluded from the volume reconstructed in previous steps. In this paper we remove the excluded volume (EV) restriction, replacing it by a "free volume" (FV) approach. For liquid argon, HSMC-FV leads to an improvement in efficiency over HSMC-EV by a factor of 2-3. Importantly, the FV treatment greatly simplifies the HS implementation for liquids, allowing a much more natural application of the method for MD simulations. Given the success and popularity of MD, the present development of the HSMD method for liquids is an important advancement for HS methodology. Results for the HSMD-FV approach presented here agree well with our HSMC and thermodynamic integration results. The efficiency of HSMD-FV is equivalent to HSMC-EV. The potential use of HSMC(MD)-FV in protein systems with explicit water is discussed.

Indexed as

Biophysical PhenomenaBiophysicsChemistry, PhysicalComputer SimulationElectronicsElectronsEntropyModels, ChemicalModels, StatisticalModels, TheoreticalMolecular ConformationMonte Carlo MethodProbabilityThermodynamics

Identifiers

PMID16774320
PMCPMC1995118

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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.