Evidence map›Paper›PMID 28132112›Full record

ArticleJournal of computer-aided molecular design2017

Combining MOSCED with molecular simulation free energy calculations or electronic structure calculations to develop an efficient tool for solvent formulation and selection.

Courtney E Cox, Jeremy R Phifer, Larissa Ferreira da Silva, Gabriel Gonçalves Nogueira, Ryan T Ley, Elizabeth J O'Loughlin, Ana Karolyne Pereira Barbosa, Brett T Rygelski, Andrew S Paluch

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Article in Journal of computer-aided molecular design, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Courtney E CoxDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Jeremy R PhiferDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Larissa Ferreira da SilvaDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Gabriel Gonçalves NogueiraDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Ryan T LeyDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Elizabeth J O'LoughlinDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Ana Karolyne Pereira BarbosaDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Brett T RygelskiDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Andrew S PaluchDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA. PaluchAS@MiamiOH.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solubility parameter based methods have long been a valuable tool for solvent formulation and selection. Of these methods, the MOdified Separation of Cohesive Energy Density (MOSCED) has recently been shown to correlate well the equilibrium solubility of multifunctional non-electrolyte solids. However, before it can be applied to a novel solute, a limited amount of reference solubility data is required to regress the necessary MOSCED parameters. Here we demonstrate for the solutes methylparaben, ethylparaben, propylparaben, butylparaben, lidocaine and ephedrine how conventional molecular simulation free energy calculations or electronic structure calculations in a continuum solvent, here the SMD or SM8 solvation model, can instead be used to generate the necessary reference data, resulting in a predictive flavor of MOSCED. Adopting the melting point temperature and enthalpy of fusion of these compounds from experiment, we are able to predict equilibrium solubilities. We find the method is able to well correlate the (mole fraction) equilibrium solubility in non-aqueous solvents over four orders of magnitude with good quantitative agreement.

Indexed as

Computer SimulationMolecular StructureParabensQuantum TheorySolubilitySolutionsSolventsThermodynamicsParabensSolutionsSolventsActivity coefficientChemical potentialElectronic structureFree energy of solvationMolecular simulationSolubility

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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.