ArticleScience advances2019
Cheminformatics-driven discovery of polymeric micelle formulations for poorly soluble drugs.
Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 57 citations in OpenAlex.
- Structure-dependent incorporation of terpenes into amphiphilic Poly(2-oxazoline) micelles.Biomedical microdevices · 2026Article
- Bridging hydrogen-bond-stabilized polymeric coacervate core micelles for high-efficiency drug encapsulation and delivery.Nature communications · 2026Article
- Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.Acta pharmaceutica Sinica. B · 2026Review
- PEGylation technology: addressing concerns, moving forward.Drug delivery · 2025Review
- Dona Flor and her two husbands: Discovery of novel HDAC6/AKT2 inhibitors for myeloid cancer treatment.Computers in biology and medicine · 2025Article
- Machine Learning in Polymer Research.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine.Pharmaceutical research · 2024Article
- Rational strategies for improving the efficiency of design and discovery of nanomedicines.Nature communications · 2024Review
- POxload: Machine Learning Estimates Drug Loadings of Polymeric Micelles.Molecular pharmaceutics · 2024Article
- Modeling interactions between Heparan sulfate and proteins based on the Heparan sulfate microarray analysis.Glycobiology · 2024Article
- Influence of Molecular Structure and Physicochemical Properties of Immunosuppressive Drugs on Micelle Formulation Characteristics and Cutaneous Delivery.Pharmaceutics · 2023Article
- New Advances in Biomedical Application of Polymeric Micelles.Pharmaceutics · 2022Review
- Nanoformulated Remdesivir with Extremely Low Content of Poly(2-oxazoline)-Based Stabilizer for Aerosol Treatment of COVID-19.Macromolecular bioscience · 2022Article
- SoluplusDrug delivery and translational research · 2022Article
- Multipotent Poly(Tertiary Amine-Oxide) Micelles for Efficient Cancer Drug Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Merging data curation and machine learning to improve nanomedicines.Advanced drug delivery reviews · 2022Review
- Drug-Dependent Morphological Transitions in Spherical and Worm-Like Polymeric Micelles Define Stability and Pharmacological Performance of Micellar Drugs.Small (Weinheim an der Bergstrasse, Germany) · 2022Article
- Preparation and Characterization of Poly(2-oxazoline) Micelles for the Solubilization and Delivery of Water Insoluble Drugs.Bio-protocol · 2021Article
- Poly(2-oxazoline)- and Poly(2-oxazine)-Based Self-Assemblies, Polyplexes, and Drug Nanoformulations-An Update.Advanced healthcare materials · 2021Review
- Simplex representation of molecular structure as universal QSAR/QSPR tool.Structural chemistry · 2021Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 3 countries.
Funding
Abstract
Many drug candidates fail therapeutic development because of poor aqueous solubility. We have conceived a computer-aided strategy to enable polymeric micelle-based delivery of poorly soluble drugs. We built models predicting both drug loading efficiency (LE) and loading capacity (LC) using novel descriptors of drug-polymer complexes. These models were employed for virtual screening of drug libraries, and eight drugs predicted to have either high LE and high LC or low LE and low LC were selected. Three putative positives, as well as three putative negative hits, were confirmed experimentally (implying 75% prediction accuracy). Fortuitously, simvastatin, a putative negative hit, was found to have the desired micelle solubility. Podophyllotoxin and simvastatin (LE of 95% and 87% and LC of 43% and 41%, respectively) were among the top five polymeric micelle-soluble compounds ever studied experimentally. The success of the strategy described herein suggests its broad utility for designing drug delivery systems.
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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.