Evidence map›Paper›PMID 25818437›Full record

ArticleBiomaterials2015

Experimental modulation and computational model of nano-hydrophobicity.

Shuhuan Li, Shumei Zhai, Yin Liu, Hongyu Zhou, Jinmei Wu, Qing Jiao, Bin Zhang, Hao Zhu, Bing Yan

Abstract read
In one paragraph

Article in Biomaterials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Analysis of model PMEcotoxicology and environmental safety · 2020
    Article
  7. Big Data and Artificial Intelligence Modeling for Drug Discovery.Annual review of pharmacology and toxicology · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Toward a systematic exploration of nano-bio interactions.Toxicology and applied pharmacology · 2017
    Review
  16. 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

9 authors.

Shuhuan LiSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Shumei ZhaiSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Yin LiuSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Hongyu ZhouSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Jinmei WuSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Qing JiaoSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Bin ZhangSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
Hao ZhuDepartment of Chemistry, Rutgers University, Camden, NJ, United States; The Rutgers Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, United States.
Bing YanSchool of Chemistry and Chemical Engineering, Shandong University, Jinan, China. Electronic address: drbingyan@yahoo.com.

Funding

Predictive Computational Acute Toxicity Modeling by Profiling Chemicals With PublR15ES023148 · NIEHS · RUTGERS THE STATE UNIV OF NJ CAMDEN · PI ZHU, HAO · 2013 to 2018
$941k
NIEHS NIH HHS R15 ES023148
6 · The paper itself

Abstract

We demonstrate that nano-hydrophobicity, which governs the biological aggressiveness of nanoparticles, is determined by the outermost regions of surface ligands. We have also successfully modulated nano-hydrophobicity using systematic surface ligand modifications and built the first computational model of nano-hydrophobicity.

Indexed as

Hydrophobic and Hydrophilic InteractionsCell Line, TumorCell SurvivalChromatography, High Pressure LiquidComputer SimulationGoldHumansLigandsLightMacrophagesMagnetic Resonance SpectroscopyMetal NanoparticlesMicroscopy, Electron, TransmissionNanotechnologyScattering, RadiationSurface PropertiesGoldLigandsCytotoxicityGoldHydrophilicity/hydrophobicityMacrophagesNanoparticleTransmission electron microscopy (TEM)

Identifiers

PMID25818437
PMCPMC5586105

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.