# The Application of Metal–Organic Frameworks as Drug Delivery Systems: From the Perspective of Molecular Dynamics Simulations

**Authors:** Jiahao Xu, Hanzi Zheng, Yue Gao, Yuanqiu Lai, Mengya Peng, Yike Hu, Tianmeng Yuan, Xiang Liu, Shihan Zhou, Wei Duan, Jia‐Wei Shen, Yongke Zheng

PMC · DOI: 10.1002/mco2.70692 · MedComm · 2026-03-28

## TL;DR

This review explains how molecular dynamics simulations help understand and improve drug delivery using metal-organic frameworks, offering insights for better nanomedicine design.

## Contribution

The paper systematically reviews how MD simulations elucidate drug-MOF interactions and compares major MOF families for drug delivery.

## Key findings

- MD simulations reveal atomic-scale drug adsorption and release mechanisms in MOFs.
- Different MOF families exhibit unique host-guest interactions and stimuli-responsive behaviors.
- Multiscale modeling and machine learning improve the predictive design of MOF-based nanocarriers.

## 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.

This review article provides a comprehensive exploration of the synergistic integration of molecular dynamics (MD) simulations and metal–organic frameworks (MOFs) to advance the design and optimization of nanoscale drug delivery systems (DDSs). We believe this work will be of significant interest to researchers in nanomedicine, computational biology, and pharmaceutical sciences, as it bridges cutting‐edge computational methodologies with experimental applications in precision drug delivery.

## Full-text entities

- **Chemicals:** MOF (MESH:D000073396), zeolitic imidazolate (-)

## Full text

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## Figures

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## References

214 references — full list in the complete paper: https://tomesphere.com/paper/PMC13042956/full.md

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Source: https://tomesphere.com/paper/PMC13042956