ReviewEuropean biophysics journal : EBJ2011
Nanomaterials in biological environment: a review of computer modelling studies.
Review in European biophysics journal : EBJ, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 117 citations in OpenAlex.
- Exploring 2D Graphene-Based Nanomaterials for Biomedical Applications: A Theoretical Modeling Perspective.Small science · 2025Article
- Immobilized lipase enzyme on green synthesized magnetic nanoparticles using Psidium guava leaves for dye degradation and antimicrobial activities.Scientific reports · 2024Article
- Application of Graphene and its Derivatives in Detecting Hazardous Substances in Food: A Comprehensive Review.Frontiers in chemistry · 2022Review
- Understanding cellular interactions with nanomaterials: towards a rational design of medical nanodevices.Nanotechnology · 2020Review
- Effects of Size and Functionalization on the Structure and Properties of Graphene Oxide Nanoflakes: An in Silico Investigation.ACS omega · 2018Article
- A model-based analysis of tissue targeting efficacy of nanoparticles.Journal of the Royal Society, Interface · 2018Article
- An Improved Method for Magnetic Nanocarrier Drug Delivery across the Cell Membrane.Sensors (Basel, Switzerland) · 2018Article
- NanoEHS beyond Toxicity - Focusing on Biocorona.Environmental science. Nano · 2017Article
- The role of natural processes and surface energy of inhaled engineered nanoparticles on aggregation and corona formation.NanoImpact · 2016Article
- Hybrids of Nucleic Acids and Carbon Nanotubes for Nanobiotechnology.Nanomaterials (Basel, Switzerland) · 2015Review
- Surface presentation of functional peptides in solution determines cell internalization efficiency of TAT conjugated nanoparticles.Nano letters · 2014Article
- Lipopolysaccharide-induced dynamic lipid membrane reorganization: tubules, perforations, and stacks.Biophysical journal · 2014Article
- Nanoinformatics: emerging databases and available tools.International journal of molecular sciences · 2014Review
- Molecular modeling in structural nano-toxicology: interactions of nano-particles with nano-machinery of cells.Advanced drug delivery reviews · 2013Review
- Article
- Effect of particle diameter and surface composition on the spontaneous fusion of monolayer-protected gold nanoparticles with lipid bilayers.Nano letters · 2013Article
- Charged gold nanoparticles with essentially zero serum protein adsorption in undiluted fetal bovine serum.Journal of the American Chemical Society · 2013Article
- Dimensionality of carbon nanomaterials determines the binding and dynamics of amyloidogenic peptides: multiscale theoretical simulations.PLoS computational biology · 2013Article
- Targeted polymeric therapeutic nanoparticles: design, development and clinical translation.Chemical Society reviews · 2012Review
- Insertion of short amino-functionalized single-walled carbon nanotubes into phospholipid bilayer occurs by passive diffusion.PloS one · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanotechnology is set to impact a vast range of fields, including computer science, materials technology, engineering/manufacturing and medicine. As nanotechnology grows so does exposure to nanostructured materials, thus investigation of the effects of nanomaterials on biological systems is paramount. Computational techniques can allow investigation of these systems at the nanoscale, providing insight into otherwise unexaminable properties, related to both the intentional and unintentional effects of nanomaterials. Herein, we review the current literature involving computational modelling of nanoparticles and biological systems. This literature has highlighted the common modes in which nanostructured materials interact with biological molecules such as membranes, peptides/proteins and DNA. Hydrophobic interactions are the most favoured, with π-stacking of the aromatic side-chains common when binding to a carbonaceous nanoparticle or surface. van der Waals forces are found to dominate in the insertion process of DNA molecules into carbon nanotubes. Generally, nanoparticles have been observed to disrupt the tertiary structure of proteins due to the curvature and atomic arrangement of the particle surface. Many hydrophobic nanoparticles are found to be able to transverse a lipid membrane, with some nanoparticles even causing mechanical damage to the membrane, thus potentially leading to cytotoxic effects. Current computational techniques have revealed how some nanoparticles interact with biological systems. However, further research is required to determine both useful applications and possible cytotoxic effects that nanoparticles may have on DNA, protein and membrane structure and function within biosystems.
Indexed as
Identifiers
What OpenQuestion holds
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.