ArticleAdvanced materials interfaces2021
Biophysical Considerations in the Rational Design and Cellular Targeting of Flexible Polymeric Nanoparticles.
Article in Advanced materials interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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 Simulations of Polymer-based Drug Nanocarriers: From Physical and Structural Properties to Controlled Release.Advanced healthcare materials · 2026Review
- From Single Ligand-Receptor Bond Strength to Collective Avidity: Mechanics-Guided Superselective Nanoparticle Adhesion to Biological Membranes.Langmuir : the ACS journal of surfaces and colloids · 2025Article
- Mechanical regulation of extracellular vesicle activity during tumour progression.Nature biomedical engineering · 2025Review
- Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics.Computers & chemical engineering · 2025Article
- Quantification of Curvature Sensing Behavior of Curvature-Inducing Proteins on Model Wavy Substrates.The Journal of membrane biology · 2022Article
- Multiphysics pharmacokinetic model for targeted nanoparticles.Frontiers in medical technology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
How nanoparticle (NP) mechanical properties impact multivalent ligand-receptor-mediated binding to cell surfaces, the avidity, propensity for internalization, and effects due to crowding remains unknown or unquantified. Through computational analyses, the effects of NP composition from soft, deformable NPs to rigid spheres, effect of tethers, the crowding of NPs at the membrane surface, and the cell membrane properties such as cytoskeletal interactions are addressed. Analyses of binding mechanisms of three distinct NPs that differ in type and rigidity (core-corona flexible NP, rigid NP, and rigid-tethered NP) but are otherwise similar in size and ligand surface density are reported; moreover, for the case of flexible NP, NP stiffness is tuned by varying the internal crosslinking density. Biophysical modeling of NP binding to membranes together with thermodynamic analysis powered by free energy calculations is employed, and it is shown that efficient cellular targeting and uptake of NP functionalized with targeting ligand molecules can be shaped by factors including NP flexibility and crowding, receptor-ligand binding avidity, state of the membrane cytoskeleton, and curvature inducing proteins. Rational design principles that confer tension, membrane excess area, and cytoskeletal sensing properties to the NP which can be exploited for cell-specific targeting of NP are uncovered.
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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.