ReviewMedComm2026
The Application of Metal-Organic Frameworks as Drug Delivery Systems: From the Perspective of Molecular Dynamics Simulations.
Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metal-organic frameworks (MOFs) have emerged as a promising class of nanomaterials for drug delivery due to their exceptionally high surface area, tunable pore structures, and chemical versatility. However, conventional experimental techniques cannot fully capture atomic-scale drug-carrier interactions or transient diffusion processes within MOF pores. Molecular dynamics (MD) simulation, a computational technique that tracks atom-level movements over time, has thus become indispensable for probing these microscopic mechanisms. This review introduces the fundamentals of MD simulation and comprehensively examines how MD simulation reveals drug adsorption mechanisms, functionalization effects, and release kinetics in MOF-based delivery systems. Then, it systematically compares major MOF families including isoreticular metal-organic frameworks, zeolitic imidazolate frameworks, Materials of Institute Lavoisier Frameworks, University of Oslo Frameworks, and porous coordinated networks and highlight their distinct host-guest interactions and stimuli-responsive behaviors. The integration of multiscale modeling and machine learning further enhances predictive capabilities for carrier design. By establishing MD simulation as a fundamental tool for understanding nanoscale drug-carrier interactions, this review provides a theoretical foundation for developing efficient, stable, and responsive MOF-based nanocarriers, advancing the field of precision nanomedicine.
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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.