Multi-lab intrinsic solubility measurement reproducibility in CheqSol and shake-flask methods.

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.

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.

Who cites it

11 citing papers in PubMed.

1. An accessible property classification framework to predict the solubility of functionalised naphthalenes and rylenes in organic solvents.Digital discovery · 2026
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2. An Interactive Constraint-Based Decision-Support Tool for Pharmaceutical Formulation Development.Pharmaceutics · 2026
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3. Effects of Different Centrifugation Parameters on Equilibrium Solubility Measurements.Methods and protocols · 2025
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4. Influence of Ionization and the Addition of Cyclodextrins and Hydrophilic Excipients on the Solubility of Benzthiazide, Isoxicam, and Piroxicam.Pharmaceutics · 2025
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5. Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models.Journal of cheminformatics · 2023
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6. Comparative Drug Solubility Studies Using Shake-Flask Versus a Laser-Based Robotic Method.AAPS PharmSciTech · 2023
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7. Mechanistically transparent models for predicting aqueous solubility of rigid, slightly flexible, and very flexible drugs (MW<2000) Accuracy near that of random forest regression.ADMET & DMPK · 2023
   Review
8. Intrinsic Aqueous Solubility: Mechanistically Transparent Data-Driven Modeling of Drug Substances.Pharmaceutics · 2022
   Article
9. Synthesis and Characterization of a New Norfloxacin/Resorcinol Cocrystal with Enhanced Solubility and Dissolution Profile.Pharmaceutics · 2021
   Article
10. Pushing the limits of solubility prediction via quality-oriented data selection.iScience · 2021
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11. Three machine learning models for the 2019 Solubility Challenge.ADMET & DMPK · 2020
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as