ArticleNature communications2022
Topology mediates transport of nanoparticles in macromolecular networks.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Article
- Deciphering the intrinsically disordered characteristics of the FG-Nups through the lens of polymer physics.Nucleus (Austin, Tex.) · 2024Review
- Article
- On the Structure, Stability, and Cell Uptake of Nanostructured Lipid Carriers for Drug Delivery.Molecular pharmaceutics · 2024Article
- Unconventionally fast transport through sliding dynamics of rodlike particles in macromolecular networks.Nature communications · 2024Article
- Smart nanoparticles for cancer therapy.Signal transduction and targeted therapy · 2023Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffusion transport of nanoparticles in confined environments of macromolecular networks is common in diverse physical systems and regulates many biological responses. Macromolecular networks possess various topologies, featured by different numbers of degrees and genera. Although the network topologies can be manipulated from a molecular level, how the topology impacts the transport of nanoparticles in macromolecular networks remains unexplored. Here, we develop theoretical approaches combined with simulations to study nanoparticle transport in a model system consisting of network cells with defined topologies. We find that the topology of network cells has a profound effect on the free energy landscape experienced by a nanoparticle in the network cells, exhibiting various scaling laws dictated by the topology. Furthermore, the examination of the impact of cell topology on the detailed behavior of nanoparticle dynamics leads to different dynamical regimes that go beyond the particulars regarding the local network loop. The results might alter the conventional picture of the physical origin of transport in networks.
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