Evidence map›Paper›PMID 20536119›Full record

ArticleBiomacromolecules2010

Nanoparticle design optimization for enhanced targeting: Monte Carlo simulations.

Shihu Wang, Elena E Dormidontova

Abstract read
In one paragraph

Article in Biomacromolecules, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Bimodal brush-functionalized nanoparticles selective to receptor surface density.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Stem Cell Mimicking Nanoencapsulation for Targeting Arthritis.International journal of nanomedicine · 2021
    Review
  15. Article
  16. Article
  17. Evolution of Multivalent Nanoparticle Adhesion via Specific Molecular Interactions.Langmuir : the ACS journal of surfaces and colloids · 2016
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shihu WangDepartment of Macromolecular Science and Engineering, Case Western Reserve University, Cleveland, Ohio 44106, USA.
Elena E Dormidontova

Funding

Design of Targeting Enhancement for Drug DeliveryR21CA112436 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI DORMIDONTOVA, ELENA · 2006 to 2007
$328k
NCI NIH HHS R21 CA112436NCI NIH HHS R21CA112436
6 · The paper itself

Abstract

Using computer simulations, we systematically studied the influence of different design parameters of a spherical nanoparticle tethered with monovalent ligands on its efficiency of targeting planar cell surfaces containing mobile receptors. We investigate how the nanoparticle affinity can be affected by changing the binding energy, the percent of functionalization by ligands, tether length, grafting density, and nanoparticle core size. In general, using a longer tether length or increasing the number of tethered chains without increasing the number of ligands increases the conformational penalty for tether stretching/compression near the cell surface and leads to a decrease in targeting efficiency. At the same time, using longer tethers or a larger core size allows ligands to interact with receptors over a larger cell surface area, which can enhance the nanoparticle affinity toward the cell surface. We also discuss the selectivity of nanoparticle targeting of cells with a high receptor density. Based on the obtained results, we provide recommendations for improving the nanoparticle binding affinity and selectivity, which can guide future nanoparticle development for diagnostic and therapeutic purposes.

Indexed as

Computer SimulationMonte Carlo MethodDrug Delivery SystemsLigandsNanoparticlesReceptors, Cell SurfaceStructure-Activity RelationshipLigandsReceptors, Cell Surface

Identifiers

PMID20536119
PMCPMC2999362

What OpenQuestion holds

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Registered trials

None linked

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.