Evidence map›Paper›PMID 28168669›Full record

ReviewAdvances in experimental medicine and biology2017

Multiscale Modelling of Bionano Interface.

Hender Lopez, Erik G Brandt, Alexander Mirzoev, Dmitry Zhurkin, Alexander Lyubartsev, Vladimir Lobaskin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Atomistic Molecular Dynamics Simulations of Lipids Near TiOThe journal of physical chemistry. B · 2021
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. 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

6 authors.

Hender LopezSchool of Physics, Complex and Adaptive Systems Lab, University College Dublin, Belfield, Dublin 4, Ireland.
Erik G BrandtDepartment of Materials and Environmental Chemistry, Stockholm University, SE-10691, Stockholm, Sweden.
Alexander MirzoevDepartment of Materials and Environmental Chemistry, Stockholm University, SE-10691, Stockholm, Sweden.
Dmitry ZhurkinDepartment of Materials and Environmental Chemistry, Stockholm University, SE-10691, Stockholm, Sweden.
Alexander LyubartsevDepartment of Materials and Environmental Chemistry, Stockholm University, SE-10691, Stockholm, Sweden.
Vladimir LobaskinSchool of Physics, Complex and Adaptive Systems Lab, University College Dublin, Belfield, Dublin 4, Ireland. vladimir.lobaskin@ucd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a framework for coarse-grained modelling of the interface between foreign nanoparticles (NP) and biological fluids and membranes. Our model includes united-atom presentations of membrane lipids and globular proteins in implicit solvent, which are based on all-atom structures of the corresponding molecules and parameterised using experimental data or atomistic simulation results. The NPs are modelled by homogeneous spheres that interact with the beads of biomolecules via a central force that depends on the NP size. The proposed methodology is used to predict the adsorption energies for human blood plasma proteins on NPs of different sizes as well as the preferred orientation of the molecules upon adsorption. Our approach allows one to rank the proteins by their binding affinity to the NP, which can be used for predicting the composition of the NP-protein corona for the corresponding material. We also show how the model can be used for studying NP interaction with a lipid bilayer membrane and thus can provide a mechanistic insight for modelling NP toxicity.

Indexed as

Blood ProteinsHumansLipid BilayersMembranesMolecular Dynamics SimulationNanoparticlesParticle SizeBlood ProteinsLipid BilayersCell membraneCoarse-grained molecular dynamicsNanoparticleProtein coronaToxicity

Identifiers

PMID28168669

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.