Evidence map›Paper›PMID 29421301›Full record

ReviewInternational journal of pharmaceutics2018

Computational prediction of drug solubility in water-based systems: Qualitative and quantitative approaches used in the current drug discovery and development setting.

Christel A S Bergström, Per Larsson

Abstract readReview
In one paragraph

Review in International journal of pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. Review
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  7. Green synthesis,Future medicinal chemistry · 2025
    Article
  8. Article
  9. Synthesis,Future medicinal chemistry · 2025
    Article
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  13. Article
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  16. International journal of molecular sciences · 2024
    Article
  17. Article
  18. Article
  19. Targeting XGHPRT enzyme to manageSaudi journal of biological sciences · 2024
    Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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.

Christel A S BergströmDepartment of Pharmacy, Uppsala University, Biomedical Centre P.O. Box 580, SE-751 23 Uppsala, Sweden. Electronic address: christel.bergstrom@farmaci.uu.se.
Per LarssonDepartment of Pharmacy, Uppsala University, Biomedical Centre P.O. Box 580, SE-751 23 Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review we will discuss recent advances in computational prediction of solubility in water-based solvents. Our focus is set on recent advances in predictions of biorelevant solubility in media mimicking the human intestinal fluids and on new methods to predict the thermodynamic cycle rather than prediction of solubility in pure water through quantitative structure property relationships (QSPR). While the literature is rich in QSPR models for both solubility and melting point, a physicochemical property strongly linked to the solubility, recent advances in the modelling of these properties make use of theory and computational simulations to better predict these properties or processes involved therein (e.g. solid state crystal lattice packing, dissociation of molecules from the lattice and solvation). This review serves to provide an update on these new approaches and how they can be used to more accurately predict solubility, and also importantly, inform us on molecular interactions and processes occurring during drug dissolution and solubilisation.

Indexed as

Molecular Dynamics SimulationDrug CompoundingDrug DiscoveryDrug LiberationModels, ChemicalMolecular StructurePharmaceutical PreparationsQuantitative Structure-Activity RelationshipSolubilitySolventsTechnology, PharmaceuticalThermodynamicsWaterPharmaceutical PreparationsSolventsWaterComputational predictionIntestinal fluidMolecular dynamics simulationsQuantitative structure property relationshipsSolid stateSolubility

Identifiers

PMID29421301
PMCPMC5861307

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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.