Evidence map›Paper›PMID 23726945›Full record

ReviewAdvanced drug delivery reviews2013

Molecular modeling in structural nano-toxicology: interactions of nano-particles with nano-machinery of cells.

Naveena Yanamala, Valerian E Kagan, Anna A Shvedova

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Nanoinformatics: emerging databases and available tools.International journal of molecular sciences · 2014
    Review
  14. 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

3 authors.

Naveena YanamalaPathology & Physiology Research Branch/NIOSH/CDC, Morgantown, WV, USA.
Valerian E Kagan
Anna A Shvedova

Funding

Training and EducationU19AI068021 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GREENBERGER, JOEL S · 2005 to 2019
$44.4M
Pulmonary Phosphatidylserine Oxidation in ApoptosisR01HL070755 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAGAN, VALERIAN E · 2002 to 2011
$3.0M
Lung Oxidative Stress/Inflammation By Carbon NanotubesR01OH008282 · OH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAGAN, VALERIAN E · 2005 to 2014
$2.8M
NHLBI NIH HHS HL70755NHLBI NIH HHS R01 HL070755NIAID NIH HHS U19 AI068021NIAID NIH HHS U19AI068021NIOSH CDC HHS OH008282NIOSH CDC HHS R01 OH008282PHS HHS 2927ZKCY
6 · The paper itself

Abstract

Over the past two decades, nanotechnology has emerged as a key player in various disciplines of science and technology. Some of the most exciting applications are in the field of biomedicine - for theranostics (for combined diagnostic and therapeutic purposes) as well as for exploration of biological systems. A detailed understanding of the molecular interactions between nanoparticles and biological nano-machinery - macromolecules, membranes, and intracellular organelles - is crucial for obtaining adequate information on mechanisms of action of nanomaterials as well as a perspective on the long term effects of these materials and their possible toxicological outcomes. This review focuses on the use of structure-based computational molecular modeling as a tool to understand and to predict the interactions between nanomaterials and nano-biosystems. We review major approaches and provide examples of computational analysis of the structural principles behind such interactions. A rationale on how nanoparticles of different sizes, shape, structure and chemical properties can affect the organization and functions of nano-machinery of cells is also presented.

Indexed as

Models, MolecularHumansMolecular Dynamics SimulationNanoparticlesNanotechnologyParticle SizeSurface PropertiesToxicologyComparable sizes of nanoparticlesComputational predictionsInhibition of nano-mechanismsMolecular interactionsNano-bio interactionsOxidative damage

Identifiers

PMID23726945
PMCPMC3819408

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.