ReviewPharmaceuticals (Basel, Switzerland)2021
Evolution of the Computational Pharmaceutics Approaches in the Modeling and Prediction of Drug Payload in Lipid and Polymeric Nanocarriers.
Review in Pharmaceuticals (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Engineering and supercritical systems for improving the solubility and nanoparticles by development of computational machine learning models.Scientific reports · 2026Article
- Molecular and Computational Basis of Taste Perception: A Review toward the "Digital Language of Taste".ACS omega · 2026Review
- Advancing Tuberculosis Treatment with Next-Generation Drugs and Smart Delivery Systems.Pharmaceutics · 2026Review
- Multistep Machine Learning Pipeline For Polymeric Nanoparticle Design.AAPS PharmSciTech · 2025Article
- Polymeric and lipidic nanoparticles in transforming anti-HIV combinational therapy: can they turn the tide?Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Drug Repurposing: Insights into Current Advances and Future Applications.Current medicinal chemistry · 2025Review
- A review of the physiological effects of microgravity and innovative formulation for space travelers.Journal of pharmacokinetics and pharmacodynamics · 2024Review
- Structural Optimization of Platinum Drugs to Improve the Drug-Loading and Antitumor Efficacy of PLGA Nanoparticles.Pharmaceutics · 2022Article
- Niosomes: a novel targeted drug delivery system for cancer.Medical oncology (Northwood, London, England) · 2022Review
- Fundamental Aspects of Lipid-Based Excipients in Lipid-Based Product Development.Pharmaceutics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review describes different trials to model and predict drug payload in lipid and polymeric nanocarriers. It traces the evolution of the field from the earliest attempts when numerous solubility and Flory-Huggins models were applied, to the emergence of molecular dynamic simulations and docking studies, until the exciting practically successful era of artificial intelligence and machine learning. Going through matching and poorly matching studies with the wet lab-dry lab results, many key aspects were reviewed and addressed in the form of sequential examples that highlighted both cases.
Indexed as
Identifiers
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.