ReviewADMET & DMPK2019
Perspectives in solubility measurement and interpretation.
Review in ADMET & DMPK, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed.
- Data-Driven Critical Evaluation of the General Solubility Equation.Journal of chemical information and modeling · 2026Article
- Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes.The journal of physical chemistry. B · 2026Article
- Effects of Different Centrifugation Parameters on Equilibrium Solubility Measurements.Methods and protocols · 2025Article
- Membrane-Assisted Electrochemical Removal of MgMembranes · 2025Article
- Pharmaceutical Salts: Comprehensive Insights From Fundamental Chemistry to FDA Approvals (2019-2023).AAPS PharmSciTech · 2025Review
- Often neglected steps in transforming drug solubility from single measurement in pure water to physiologically-appropriate solubility-pH.ADMET & DMPK · 2025Article
- Exploration of the Solubility Hyperspace of Selected Active Pharmaceutical Ingredients in Choline- and Betaine-Based Deep Eutectic Solvents: Machine Learning Modeling and Experimental Validation.Molecules (Basel, Switzerland) · 2024Article
- Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modeling.Molecules (Basel, Switzerland) · 2024Article
- Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen.Molecules (Basel, Switzerland) · 2024Article
- Molecular chameleons in drug discovery.Nature reviews. Chemistry · 2024Review
- Flavonoids in the Spotlight: Bridging the Gap between Physicochemical Properties and Formulation Strategies.Pharmaceuticals (Basel, Switzerland) · 2023Review
- A Combined In-Vitro and GastroPlus® Modeling to Study the Effect of Intestinal Precipitation on Cinnarizine Plasma Profile in a Fasted State.AAPS PharmSciTech · 2023Article
- Anomalous salting-out, self-association and pADMET & DMPK · 2023Article
- Intrinsic Aqueous Solubility: Mechanistically Transparent Data-Driven Modeling of Drug Substances.Pharmaceutics · 2022Article
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- Article
- Mucin-Protected Caco-2 Assay to Study Drug Permeation in the Presence of Complex Biorelevant Media.Pharmaceutics · 2022Article
- Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules.Pharmaceutics · 2021Article
- Prediction of hERG inhibition of drug discovery compounds using biomimetic HPLC measurements.ADMET & DMPK · 2021Article
- Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database.ADMET & DMPK · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several key topics in solubility measurement and interpretation are briefly summarized and illustrated with case studies drawing on published solubility determinations as a function of pH. Featured are examples of ionizable molecules that exhibit solubility-pH curve distortion from that predicted by the traditionally used Henderson-Hasselbalch equation and possible interpretations for these distortions are provided. The scope is not exhaustive; rather it is focused on detailed descriptions of a few cases. Topics discussed are limitations of kinetic solubility, 'brick-dust and grease-balls,' applications of simulated and human intestinal fluids, supersaturation and the relevance of pre-nucleation clusters and sub-micellar aggregates in the formation of solids, drug-buffer/excipient complexation, hydrotropic solubilization, acid-base 'supersolubilization,' cocrystal route to supersaturation, as well as data quality assessment and solubility prediction. The goal is to highlight principles of solution equilibria - graphically more than mathematically - that could invite better assay design, to result in improved quality of measurements, and to impart a deeper understanding of the underlying solution chemistry in suspensions of drug solids. The value of solid state characterizations is stressed but not covered explicitly in this mini-review.
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What OpenQuestion holds
Registered trials
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.