ArticleThe AAPS journal2024
Quantitative Analysis of Physical Stability Mechanisms of Amorphous Solid Dispersions by Molecular Dynamic Simulation.
Article in The AAPS journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 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
6 citing papers in PubMed.
- Molecular Dynamics Simulation and MM/PBSA Analysis of α-Mangostin Stabilization in SoluplusInternational journal of molecular sciences · 2026Article
- Dissecting corneal drug permeability under experimental variability and drug cold-start challenges via hybrid machine learning.Drug delivery and translational research · 2026Article
- Amorphous Solid Dispersions of Polyphenols: Current State of the Art (Part I).Pharmaceuticals (Basel, Switzerland) · 2026Review
- Artificial intelligence for drug delivery: Yesterday, today and tomorrow.Acta pharmaceutica Sinica. B · 2026Review
- Physical Stability and Molecular Mobility of Resveratrol in a Polyvinylpyrrolidone Matrix.Molecules (Basel, Switzerland) · 2025Article
- Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.Pharmaceutical research · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amorphous solid dispersions (ASDs) represent a promising strategy for enhancing the solubility of poorly soluble drugs. However, the mechanisms underlying the physical stability of ASDs remain insufficiently understood. This study aims to investigate these mechanisms and propose quantitative thresholds to predict the maximum stable drug loading using molecular dynamics simulations. Poly(vinylpyrrolidone) (PVP) and poly (vinylpyrrolidone-co-vinyl acetate) (PVPVA64) are selected as polymeric carriers, while naproxen and acetaminophen serve as model drugs, resulting in the formulation of 18 distinct ASDs across four types for comparison with experimental results. Our findings indicate that the molecular mobility of active pharmaceutical ingredients (APIs) is the primary determinant of solid dispersion stability. High polymer concentrations limit drug molecular mobility through spatial structural constraints and ASD viscosity. As drug loading increases, the polymer concentration reaches a critical threshold (C*), beyond which drug-rich regions form, leading to potential aggregation, rearrangement, and recrystallization of drug molecules into more energetically stable forms. Notably, both the interaction energy and diffusion coefficient show sharp fluctuations at the maximum stable drug loading, which can serve as predictive indicators for ASD stability. Additionally, a search strategy is used to identify potential pre-crystalline sites. By integrating kinetic, thermodynamic, and pre-crystalline analyses through molecular dynamics simulations, this study provides a foundation for more accurate predictions of ASD stability, significantly aiding future formulation development.
Indexed as
Identifiers
39638916What 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.