ArticleJournal of controlled release : official journal of the Controlled Release Society2012
Quantitative structure-property relationship modeling of remote liposome loading of drugs.
Article in Journal of controlled release : official journal of the Controlled Release Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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Who cites it
28 citing papers in PubMed.
- Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.Acta pharmaceutica Sinica. B · 2026Review
- Machine learning-assisted microfluidic approach for broad-spectrum liposome size control.Journal of pharmaceutical analysis · 2025Article
- Advancements in nanoscale delivery systems: optimizing intermolecular interactions for superior drug encapsulation and precision release.Drug delivery and translational research · 2025Review
- Advancing liposome technology for innovative strategies against malaria.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence.Briefings in bioinformatics · 2023Article
- Folate-Targeted Nanoliposomal Chemophototherapy.Pharmaceutics · 2023Article
- Liposomal PHD2 Inhibitors and the Enhanced Efficacy in Stabilizing HIF-1α.Nanomaterials (Basel, Switzerland) · 2022Article
- Therapeutic Potential of Injectable Nano-Mupirocin Liposomes for Infections Involving Multidrug-Resistant Bacteria.Pharmaceutics · 2021Article
- Red blood cells: The metamorphosis of a neglected carrier into the natural mothership for artificial nanocarriers.Advanced drug delivery reviews · 2021Review
- A Systematic Approach for Liposome and Lipodisk Preclinical Formulation Development by Microfluidic Technology.The AAPS journal · 2021Article
- Evolution of the Computational Pharmaceutics Approaches in the Modeling and Prediction of Drug Payload in Lipid and Polymeric Nanocarriers.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Cholesterol Levels Affect the Performance of AuNPs-Decorated Thermo-Sensitive Liposomes as Nanocarriers for Controlled Doxorubicin Delivery.Pharmaceutics · 2021Article
- Immune checkpoint inhibition in syngeneic mouse cancer models by a silicasome nanocarrier delivering a GSK3 inhibitor.Biomaterials · 2021Article
- Evaluation of a Platinum-Acridine Anticancer Agent and Its Liposomal Formulation in an in vivo Model of Lung Adenocarcinoma.ChemMedChem · 2021Article
- Development and characterization of liposomal formulation of bortezomib.International journal of pharmaceutics: X · 2019Article
- Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques.Acta pharmaceutica Sinica. B · 2019Article
- Novel poly(2-oxazoline) block copolymer with aromatic heterocyclic side chains as a drug delivery platform.Journal of controlled release : official journal of the Controlled Release Society · 2019Article
- Cheminformatics-driven discovery of polymeric micelle formulations for poorly soluble drugs.Science advances · 2019Article
- Binding of an amphiphilic phthalocyanine to pre-formed liposomes confers light-triggered cargo release.Journal of materials chemistry. B · 2018Article
- NIR responsive liposomal system for rapid release of drugs in cancer therapy.International journal of nanomedicine · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Remote loading of liposomes by trans-membrane gradients is used to achieve therapeutically efficacious intra-liposome concentrations of drugs. We have developed Quantitative Structure Property Relationship (QSPR) models of remote liposome loading for a data set including 60 drugs studied in 366 loading experiments internally or elsewhere. Both experimental conditions and computed chemical descriptors were employed as independent variables to predict the initial drug/lipid ratio (D/L) required to achieve high loading efficiency. Both binary (to distinguish high vs. low initial D/L) and continuous (to predict real D/L values) models were generated using advanced machine learning approaches and 5-fold external validation. The external prediction accuracy for binary models was as high as 91-96%; for continuous models the mean coefficient R(2) for regression between predicted versus observed values was 0.76-0.79. We conclude that QSPR models can be used to identify candidate drugs expected to have high remote loading capacity while simultaneously optimizing the design of formulation experiments.
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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.